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  • HOW TO SOLVE THE MEMORY CHALLENGES OF DEEP NEURAL NETWORKS

    Memory is one of the biggest challenges in deep neural networks (DNNs) today. Researchers are struggling with the limited memory bandwidth of the DRAM devices that have to be used by today's systems to store the huge amounts of weights and activations in DNNs.

    Source: Ghraphcore
    26991
  • U.S. Companies Raising $1 Billion or More to Fuel Artificial Intelligence (AI) Development Looking to Staff 10,000+

    Companies Allocate More Than $650 Million Annually to Fuel the AI Talent Race, Investment from Amazon Nearly 600% and Google Nearly 300% More Than Average

    Source: Globenewswire
    15552
  • Here are a few ways machine learning has improved Gboard

    Google has been improving Gboard with the same type of tools it uses for speech recognition: machine learning. The budding technology is rapidly becoming a ubiquitous method for improving results and performance.

    Source: Google
    10908
  • Machine Learning Crash Course: Part 3 Tutorial

    Neural networks are perhaps one of the most exciting recent developments in machine learning. Got a problem? Just throw a neural net at it. Want to make a self-driving car? Throw a neural net at it. Want to fly a helicopter? Throw a neural net at it. Curious about the digestive cycles of your sheep? Heck, throw a neural net at it. This extremely powerful algorithm holds much promise (but can also be a bit overhyped). In this article we'll go through how a neural network actually works, and in a future article we'll discuss some of the limitations of these seemingly magical tools.

    Source: Berkely
    14232
  • Microsoft Releases Version 2.0 "Open-Source Toolkit" to Accelerate Deep Learning

    Microsoft today launched version 2.0 of what is now called the Microsoft Cognitive Toolkit. This open-source toolkit, which was previously known as CNTK, is Microsoft's competitor to similar tools like TensorFlow, Caffe and Torch,

    Source: Microsoft
    10182
  • Now You Too Can Buy Cloud-Based Deep Learning

    Facebook's deep-learning artificial intelligence systems have learned to recognize your friends in your photos, and Google's AI has learned to anticipate what you'll be searching for. But there's no need to feel left out, even if your company's computers haven't learned much lately.

    Source: IEEE Spectrum
    11484
  • Know the Difference Between AI, Machine Learning, and Deep Learning

    AI is defined by many terms that crop up everywhere and are often used interchangeably. Read through to better know the difference between AI, Machine Learning, and Deep Learning.

    Source: Edgylabs
    12093
  • IARPA Project Targets Hidden Algorithms of the Brain

    Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science.

    Source: The Next Platform
    22893
  • Google's DeepMind Is Now Capable of Creating Images from Your Sentences

    Google's DeepMind team has developed a way for their AI to be able to create images from sentences. The more detailed the sentence, the more detailed the resulting image will be.

    Source: Futurism
    16665
  • AI Can Now Produce Better Art Than Humans. Here's How.

    Scientists have created an artificially intelligent system that is capable of producing cutting edge paintings that some consider to be better than works created by humans. How do the paintings, and other AI creations, relate to seminal criticisms of modern art?

    Source: Futurism
    18273
  • Are Most Machine Learning Experts Turning to Deep Learning?

    Yes, most faculty, graduate students, and a lot of engineering teams in industry have already abandoned everything else and shifted to deep learning. Most new graduate students in applied areas such as computer vision that I meet, know nothing about probabilistic graphical models for instance, and their proposed solution to any problem is a CNN/LSTM/GAN.

    Source: KDnuggets
    13818
  • To Build a Smarter Chatbot, First Teach It a Second Language

    From Alexa and Siri to countless chatbots and automated customer support lines, computers are gradually learning to talk. The only trouble is they are still very easily confused.

    Source: Technologyreview
    11418
  • The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?

    What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you'll likely read about how AI is powering Amazon and Google's virtual assistants, or how it's taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We're here to help with this living document, a plain-English guide to AI that will be updated and refined as the field evolves and important concepts emerge.

    Source: Quartz
    13506
  • Artificial intelligence smart enough to fool Captcha security check

    Computer scientists have developed artificial intelligence that can outsmart the Captcha website security check system.

    Source: BBC News
    10593
  • We've Finally Created an AI Network That's Been Decades in the Making

    Despite all of the arguably worthwhile hype over artificial intelligence (AI) and artificial neural networks, current systems require huge quantities of data to learn, and experts have become increasingly concerned that future systems will, too

    Source: Futurism
    18849
  • Artificial intelligence goes bilingual-without a dictionary

    Automatic language translation has come a long way, thanks to neural networks-computer algorithms that take inspiration from the human brain.

    Source: Sciencemag
    13245
  • Google's Jeff Dean: We're using AI to build machine learning systems

    Computer scientist Jeff Dean is an icon at Google. The senior fellow co-designed and co-implemented five generations of Google's crawling indexing and query ­retrieval systems.

    Source: The Australian
    16863
  • Artificial Neural NetworksBeing Used in Machine Learning. You must to know

    Artificial neural networks are computational models which work similar to the functioning of a human nervous system. There are several kinds of artificial neural networks.

    Source: HOB
    13980
  • 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

    Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas. All images link back to the cheat sheets in their original locations.

    Source: Kdnugget
    40764
  • Deep Misconceptions About Deep Learning

    I hope to clarify some processes to attack DL problems and also discuss why it performs so well in some areas such as Natural Language Processing (NLP), image recognition, and machine-translation while failing at others.

    Source: Kdnugget
    15153
  • 5 Fantastic Practical Natural Language Processing Resources

    This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

    Source: Kdnugget
    42846
  • 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

    This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.

    Source: Kdnugget
    22149
  • Neural network AI is simple. So... Stop pretending you are a genius

    This post may come off as a rant, but that's not so much its intent, as it is to point out why we went from having very few AI experts, to having so many in so little time.

    Source: Kdnugget
    47901
  • The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

    In this blog post, I want to share the 8 neural network architectures from the course that I believe any machine learning researchers should be familiar with to advance their work.

    Source: Kdnugget
    45873
  • 20 Deep Learning Terminologies You Must Know

    In this blog, we will understand commonly used neural network and Deep Learning Terminologies. As these are the most important and the basic to understand before complex learning neural network and Deep Learning Terminologies.

    Source: Data Flair
    29016
  • Top 20 Deep Learning Papers, 2018 Edition

    Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.

    Source: Kdnugget
    26949
  • The 10 Deep Learning Methods AI Practitioners Need to Apply

    Deep learning emerged from that decade's explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.

    Source: Kdnugget
    15309
  • Deep Learning - Past, Present, and Future

    There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

    Source: Kdnugget
    26277
  • Making Deep Learning User-Friendly, Possible?

    Here, I will present efforts being made to make Deep Learning (part of Machine Leaning) more user-friendly, so that it becomes easier to use by companies. Hopefully these efforts will help reduce the "struggle" faced by companies when they dip in the depths of Deep Learning.

    Source: TDS
    18798
  • 3 Thoughts on Why Deep Learning Works So Well

    While answering a posed question in his recent Quora Session, Yann LeCun also shared 3 high-level thoughts on why deep learning works so well.

    Source: HOB
    18126
  • Deep Residual Learning for Image Recognition: Deep Learning Gang

    Today's paper offers a new architecture for Convolution Networks. It was written by He, Zhang, Ren, and Sun from Microsoft Research.

    Source: HOB
    15870
  • A "Weird" Introduction to Deep Learning

    There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

    Source: HOB
    18333
  • Top 8 Free Must-Read Books on Deep Learning

    Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.

    Source: HOB
    25338
  • Top 8 Free Must-Read Books on Deep Learning

    Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.

    Source: HOB
    18153
  • Top 15 Deep Learning applications that will rule the world in 2018 and beyond - A Comprehensive List

    Deep Learning is changing the way we look at technologies. There is a lot of excitement around Artificial Intelligence (AI) along with its branches namely Machine Learning (ML) and Deep Learning at the moment.

    Source: HOB
    31881
  • Deep Learning Moves Into the Real World

    The rise of artificial intelligence in recent years is grounded in the success of deep learning. Three major drivers caused the breakthrough of (deep) neural networks the availability of huge amounts of training data, powerful computational infrastructure, and advances in academia. Thereby deep learning systems start to outperform not only classical methods, but also human benchmarks in various tasks like image classification or face recognition. This creates the potential for many disruptive new businesses leveraging deep learning to solve real-world problems.

    Source: HOB
    14166
  • Artificial Intelligence: Popular Terminologies and Concepts

    For beginners and students to have better understanding about the emerging technologies and charity about the artificial intelligence, one need to understand the basic terms, concepts related to it.

    Source: HOB
    12018
  • Today I Built a Neural Network During My Lunch Break with Keras

    So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.

    Source: HOB
    21954
  • How machine learning can solve complex face recognition problem

    We have seen how accurately Facebook recognizes faces of our friends when tagged two or three times and suggest their name to tag in a post where they are in picture with us. With the help of machine learning face recognition can be done much like as human do.

    Source: HOB
    21186
  • New AI system (RF-Pose) can track Human movements

    MIT has developed a new artificial intelligence system that can detect human's pose and movement behind wall using radio signals. This can have positive impact in healthcare to track elder patients but at the same time it can have many privacy related issues.

    Source: HOB
    12441
  • Beginners Ask "How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?"

    Beginners in artificial neural networks (ANNs) are likely to ask some questions. Some of these questions include what is the number of hidden layers to use?

    Source: HOB
    17163
  • How Artificial Intelligence could boost Liquid Biopsies?

    Although much progress has been made in recent years, cancer remains one of the most dreaded diagnosis. For many types of cancer, current treatment options only alleviate symptoms or stop working after a while, only delaying the inevitable for a few months.

    Source: HOB
    7062
  • Understanding the Present Scenario and Future Outlook of Artificial Intelligence

    AI is not the new technology it is very broad concept and comprises a set of powerful technologies that are emerging under it like deep learning, Reinforcement Learning and Facial Recognition and many more. AI is trending these days and yes it is the future.

    Source: HOB
    18627
  • Recent Advances for a Better Understanding of Deep Learning - Part I

    I would like to live in a world whose systems are build on rigorous, reliable, verifiable knowledge, and not on alchemy. Simple experiments and simple theorems are the building blocks that help understand complicated larger phenomena.

    Source: HOB
    22329
  • Neural Networks and Deep Learning, Free Online Book

    A free online book explaining the core ideas behind artificial neural networks and deep learning (draft), with new chapters, added every 2-3 months.

    Source: HOB
    11658
  • Understand These 5 Basic Concepts to Become a Machine Learning Expert

    Aaron Edell is a co-founder of Machine Box - a machine learning startup designed to make it easy to start building things with machine learning.

    Source: HOB
    52593
  • Top 10 Deep Learning Open Source Frameworks For Data Science, Machine Learning

    Who's on top in usage, interest, and popularity? Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around.

    Source: HOB
    44346
  • 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study

    Writing a machine learning algorithm from scratch is an extremely rewarding learning experience. We highlight 6 steps in this process.

    Source: HOB
    9465
  • Creating A Deep Learning Model Using Keras

    Deep learning is an increasingly popular subset of machine learning. Deep learning models are built using neural networks. A neural network takes in inputs, which are then processed in hidden layers using weights that are adjusted during training.

    Source: HOB
    23178
  • Gear Up Your Career in Deep Learning With These Popular Videos

    If we all see just few years back that Deep Learning is not much popular but now this is evolving and got equal importance to Machine Learning and Artificial Intelligence. And now deep Learning is used in many applications like Speech recognition, image recognition, finding patterns in a data set, object classification in photographs, character text generation, self-driving cars and many more.

    Source: HOB
    30846
  • How To Develop Your Own Neural Network From Scratch In Python

    As part of my personal journey to gain a better understanding of Neural Network in Python, I've decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I believe that understanding the inner workings of a Neural Network is important to any aspiring Data Scientist.

    Source: HOB
    55212
  • Get Hired WithThese Popular Tensor Flow And Machine Learning Courses

    Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.

    Source: HOB
    11568
  • 10+ Free E-Books on Mathematics, Machine Learning & Deep Learning

    Getting learners to read textbooks and use other teaching aids effectively can be tricky. Especially, when the books are just too dreary.

    Source: HOB
    57507
  • Deeper You Go Deeper You Learn With These Popular Deep Learning Books

    Books are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.

    Source: HOB
    20517
  • Frequently Asked Deep Learning Questions During Interview Round By Professionals

    Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.

    Source: HOB
    25014
  • It's A Appeal Road For The Technology Natural Language Processing

    Natural language processing, one of the most exciting components of Artificial Intelligence is all set to rule the way we communicate with the external world. Natural Language Processing uses computational and mathematical methods to analyze the human language to facilitate interactions with computers using conversational language. The most popular approaches to NLP deploy Machine Learning. Natural language processing is improving human-computer conversations at the most advanced levels with applications or systems like Google Duplex, which can act as an agent to perform tasks like making haircut appointments over the phone by conversing with humans.

    Source: HOB
    9270
  • The Three Pillars Of Deep Learning: History, Evolution And Growth

    Deep Learning is a subset of machine learning that deploys algorithms for data processing and imitates the thinking process and even develops abstractions. Deep learning uses layers of algorithms for data processing, understands human speech and recognizes objects visually. Deep Learning is feature extraction which uses an algorithm to automatically construct meaningful features of the data for learning, training and understanding.

    Source: HOB
    13977
  • Future Through The Eyes Of Data Science

    Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.

    Source: HOB
    23454
  • How to Learn Math for Data Science & ML, The Self-Starter Way

    Do you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.

    Source: HOB
    10497
  • The New Spy Tool For Fraud Detection: Machine Learning!!

    Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling. Fraud management has been painful for banking and commerce industry.

    Source: HOB
    31431
  • Know How Long Machine Learning Have To Go?

    We all have heard about Machine Learning and how it is changing the face of technology is from social media to virtual assistants like Siri and Alexa, IoT and even automobiles, algorithms analyze terabytes of data and make quick decisions.

    Source: HOB
    11178
  • Traits of Deep learning in this Era

    Online social media is getting more advanced as new technologies are upcoming regularly. Deep learning is the core of machine learning technique which teaches computers to work with what human works. These days deep learning is getting popular than ever before as it is a subset of machine learning which examines algorithms which improves on their own. Advanced technologies like on social media app we can automatically figure a person through his/her picture and Google translates our spoken words into texts accurately is all about the enhancement of recent phenomenon which is deep learning.

    Source: HOB
    16569
  • How there is an advancement in your life through Deep Learning?

    Technologies are developing and developing with a wide range of quality every day. There are many new developed functions on our smart-phones which functions much better then they use to be. The fact is that we are continuously interacting with our computers by just talking through the smart techniques, either its Apple's Siri or Google voice. Earlier people do not use any technology but these days it is seen that customers are using speech interfaces very frequently.

    Source: HOB
    6969
  • So, Is Your Machine Learning Algorithm Not Working?

    Let's imagine it's a fine afternoon and you have written even a finer machine learning algorithm for your model and you expect that it will give you correct results. At this point, if you find something's terribly wrong in the prediction then you are in the right place.

    Source: HOB
    16185
  • Prediction of 2019: how we can stop concerning artificial intelligence and start loving it?

    There has been a rapid change which is progressing in this industry in this era. Artificial Intelligence contains deep neural networks which help you to become capable of gathering and then evaluating the complex data which is more accurate and helps human to speed up. The step of innovation is increasing with speed and the tools are becoming more powerful, cost effective and are easily accessible. Nowadays you do not need a tag of a degree or any kind of specialization to tackle artificial intelligence as these tools are becoming a common toolbox for every developer.

    Source: HOB
    7965
  • Revolutionize Marketing By Artificial Intelligence

    The Internet of Things made possible to turn everyday devices into sources of raw data for analysis to generate useful insights for business It has also seen that Artificial Intelligence (AI) is making analytics more productive and efficient at workplaces too. Enterprises expect much more data to be generated in the years to come as compared to the data generated today.

    Source: HOB
    10560
  • Deep Learning An Emerging Field, Get Learn With These Popular Youtube Videos

    deep learning was only an emerging field and only a few people recognized it as a fruitful area of research. But soon it gained momentum and is used today for several applications. Speech recognition, image recognition, finding patterns in a dataset, object classification in photographs, character text generation, self-driving cars and many more. Hence it is important to be familiar with deep learning and its concepts.

    Source: HOB
    12642
  • Making Machines More Intelligent With These Machine Learning Theorems

    The last century has seen tremendous innovation within the field of arithmetic. New theories are postulated and ancient theorems are created sturdy by persistent mathematicians. And that we are still reaping the advantages of their thorough endeavors to make intelligent machines.

    Source: HOB
    11850
  • How To Generate New Ideas for Machine Learning Projects Through Machine Learning

    Let's do a quick Turing Test. Below, you'll see ten machine learning project ideas. Five of them are generated by a human and five of them are generated by a neural network. Your task is to tell them apart.

    Source: HOB
    17193
  • Few applications of deep learning for a beginner (using Python)

    Deep learning seems to be leading as in data science as it is more researched. There are many applications which can help you build a save future as predicted by the data scientist. Deep learning looks hard and intimidating. Applications like TensorFlow, Keras, GPU based computing might scare you but in reality, it is not too hard and its take time effort and time to follow, and applying these applications in regular problems is easy.

    Source: HOB
    29883
  • Get Insights With These Most Popular Videos On Neural Network

    Consider this as a collection of references to be consumed over time. These videos range from a few minutes to hour long videos. For your convenience, I have also mentioned the summary against each video for the overview purpose.

    Source: HOB
    21237
  • 2019 consideration: Core in machine learning (JavaScript)

    Machine learning is developing with a huge growth these days. There are multiple open source tools available which make the application easily. Most of the frameworks of machine learning are fed by a Python programming language, JavaScript is also not lagged behind.

    Source: HOB
    17799
  • The Way How Deep Learning Is Influencing Robotics?

    In the course of recent years, users have doubtless seen quantum jumps within the quality of a good scope of normal innovations. Most clearly, the speech recognition functions on our cell phones work far better to something they want to. After we utilize a voice direction to decision our mates, we have a tendency to contact them currently.

    Source: HOB
    15564
  • Deep Learning Algorithms Already Hitting Its Limitations?

    Many believed an algorithm of deep learning would transcend humanity with cognitive awareness. Machines would discern and learn tasks without human intervention and replace workers in droves.

    Source: HOB
    48324
  • Is Spiking Neural Network The Next Generation Of Machine Learning?

    Everyone who has been remotely tuned in to recent progress in machine learning has heard of the current 2nd generation artificial neural networks used for machine learning.

    Source: HOB
    21696
  • List Of Companies Using The Power Of Machine Learning And Artificial Intelligence

    Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to disrupt life as we know it quite like machine learning, but many of the applications of machine learning technology go unseen.

    Source: HOB
    23862
  • Artificial Neural Network Software market illuminated by new report

    Get This Report with Special Discount | Artificial Neural Network Software Market report provides key statistics on the market status of the Artificial Neural Network Software manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

    Source: https://www.reportsnreports.com/
    3939
  • Machine Learning/Artificial Intelligence/Deep Learning

    Most technology news as of late somehow relates back to artificial intelligence. The seemingly complex and high-brow technology is integrated into mundane items, such as Amazonâ??s Alexa or Google Home. With talk of artificial intelligence comes to machine learning and deep machine learning. The three phrases can often be conflated, but do refer to three specific technologies.

    Source: HOB
    3570
  • Python Programming Language: Understanding The Meaning, Characteristics And Why It Is Used?

    Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++.

    Source: HOB
    45360
  • Master Deep Learning in 6 Weeks

    Here is a video where you will get to know how to learn deep learning in six weeks. What is the next rocket science in one week? This video will help you learn the art of deep learning and the only prerequisite is knowing basic Python. By the end of this curriculum, you'll have a broad understanding of some of the key technologies that make up deep learning. You might be thinking why deep learning without machine learning. Machine learning is a broad set of algorithms used to derive insights from datasets.

    Source: HOB
    27855
  • Nothing is Being Untouched By Machine Learning, Now Its Role In Networking

    Analytics tools that incorporate machine learning can monitor network behavior, highlight anomalies, and improve performance management and security. Machine learning is a branch of artificial intelligence that focuses on getting a computer to figure out how to solve a problem, instead of humans telling it how to do so.

    Source: HOB
    11706
  • Get easy steps to master machine learning with the advanced programming language: Python

    There is huge material for the people who are interested in the machine learning with python. As we moved to the new year 2019, it is a good time to again visit the concept and get the way for the new learning path for mastering machine learning with Python.

    Source: HOB
    109395
  • Want to become a Machine Learning Engineer, Grab these 5 Skills which are Must

    The fine must have skills to become a Machine Learning Engineer are explained well here which may benefit you for making your future safe.

    Source: HOB
    23511
  • How Do We Separate Machine Learning, Artificial Intelligence and Deep Learning?

    When we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.

    Source: HOB
    8199
  • Must Read: Books Thriving Your Data Science Knowledge

    If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.

    Source: HOB
    10029
  • Must Read: Courses that will Dive you Deep into the Deep Development of Deep Learning

    Learn deep, Acquire deep and Grab deep. Here you will get some courses which will take you to the way of deep learning, establish your career and gives you in-depth knowledge.

    Source: HOB
    6225
  • Know The Hub of Learning in Cloud Computing

    If you want to grab advanced knowledge of cloud computing, these are the books which will give you a detailed picture of cloud computing. These books are the hub of your gaining knowledge.

    Source: HOB
    6249
  • Learn At Home and Master Machine Learning through these Books

    Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition) Paperback Import, 8 Apr 2009

    Source: HOB
    9225
  • Basic Understanding of Artificial Neural Networks

    An artificial neural network is a network which is designed to solve the complex problems.

    Source: HOB
    11013
  • Intel's Neuro Experts Slams Deep Learning: It's Not Actually Deep Learning

    Intel's director of its neuromorphic computing initiative, Mike Davies, chided Facebook's Yann LeCun at an industry conference for failing to appreciate the virtues of the Intel technology. He derided the deep learning approach of LeCun and others as failing to truly add up to deep learning.

    Source: HOB
    9423
  • Difference between AI, ML and Deep Learning

    I decided to write this article to clear out any confusion which anyone feels between Artificial Intelligence (AI), Machine learning (ML) and Deep learning.

    Source: HOB
    16422
  • Applications of Machine Learning

    Machine Learning is an application of Artificial Intelligence which provides machines with the capability to take decisions without any human intervention.

    Source: HOB
    16542
  • Every Engineer Should Attend These Machine Learning Events In India 2019

    Some events to attend in March 2019 related to machine learning, artificial intelligence, and deep learning.

    Source: HOB
    8667
  • Become A Champion In Deep Learning Through This Course

    In this crash course, you will discover how you can confidently get better performance from your deep learning models in seven days.

    Source: HOB
    27564
  • Expand your knowledge with some Deep Learning Books

    Some books enhancing your deep learning studies and making your future learning more deep and meaningful.

    Source: HOB
    7479
  • Learn At Home and Master Machine Learning through these Books

    Books highlighting you with some machine learning content for fresher graduates as well as professionals.

    Source: HOB
    9366
  • Here is the Elementary Study of Deep Learning Algorithms

    Data is run by Deep learning algorithms through multiple layers of the algorithms of the neural network each of which passes a simplified representation of the data to the next layer.

    Source: HOB
    45288
  • 5 Applications of Deep Learning That You Must Know

    Deep Learning has already given so much to us with its wide applications in many fields.

    Source: HOB
    11406
  • Learn Computer Vision With These Top Class Books

    This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.

    Source: HOB
    7005
  • Which are the Best Online Courses to Learn Natural Language Processing?

    There are various online courses that will help you in developing a good understanding of NLP, some of the best I have listed down here.

    Source: HOB
    31677
  • Dive Into the World of Deep Learning with These Most Trusted Books

    This article will take you to the best books that you can find of Deep Learning.

    Source: HOB
    7473
  • What Differs Cognitive Computing from Artificial Intelligence?

    We have reached a stage in technology where it is possible to develop systems which mimic the human brain. This is cognitive computing.

    Source: HOB
    20796
  • Unpaid Courses makes you a keen learner of Machine Learning and Artificial Intelligence

    Some courses which are free from edX and will make your learning more influencing and interesting.

    Source: HOB
    6648
  • Why Learning Convolutional Neural Networks is important in Computer Vision?

    Convolutional Neural networks make it possible for machines to visualize world like humans and thus becomes an important concept to learn while working in Computer vision.

    Source: HOB
    13737
  • Here are Some Amazing Deep Learning Applications

    The article will take you through the 5 most amazing applications of Deep Learning in which Deep Learning is doing its best to achieve the desired results.

    Source: HOB
    27588
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