Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

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How AI is going to change the lives of Visually Challenged People?
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How Organizations can get Best Out of Data Scientists?
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Understanding the Present Scenario and Future Outlook of Artificial Intelligence
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TensorFlow: One of the Most Popular Framework of Machine Learning

Jul 3, 2018 | 1293 Views

Deep Learning is a subset of Machine Learning and it works on the structure and functions of a human brain. It learns from the data that is structured and uses complex algorithms to train a neural net. This is a learning mechanism. Deep learning is a neural network somewhat looks like this there is something known as an input layer and then there is an output layer and in between there are a bunch of hidden layers so typically it would be at least one hidden layer and anything more than one hidden layer is known as a deep neural network so any neural network with more than three layers altogether right based known as a deep neural.

Why TensorFlow?
TensorFlow offers API to write your code in Python, C++ and so on other languages Java as well it has integration with R as well apparently good and it supports CPUs as well as GPIOs now deep learning applications are very compute intensive especially the training process needs a lot of computation as data size is large and there are so many hydrater processors there are so much of mathematical calculations matrix multiplication and so on so forth so for that if you perform these activities on a normal CPU typically it would take much longer but GPUs are graphical processing units. All have heard GPUs in the context of games and so on because where you need the screen it needs high resolution and so on so GPUs there as the name such as graphical processing units were originally designed for that but since they are very good at handling this kind of iterative calculations and so on now they are kind of being used or leveraged rather for doing or developing deep learning applications and tensorflow supports GPUs as well as CPUs so this is the one of the major advantages of the TensorFlow.

What is Tensorflow?
It is an open source library developed by Google and open source primarily for deep learning development but tensorflow also supports traditional machine learning by the way so if you want to do some traditional machine learning we can do it however it is probably a bit of overhead we use tensor flow for doing creation and machine learning and this is really good for performing deep learning activities.

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

What are Tensors?
Tensors are like a multi-dimensional array in which the data is stored now when we are doing deep-learning especially the training process you will have the large amounts of data and the data is typically in a very complicated format and it really helps when you are able to put this to store. So tensors actually offer a very nice and compact way of storing the data or handling the data during computation this is not really for storing on your hard disk or things like that but in memory when you are doing the computation. 

Tensors are really very handy in terms of keeping the data compact because they are like multi-dimensional arrays so the data is stored in tensors and then it is fed into the neural network. 
Hence, tensorflow is one of the most popular machine learning frameworks. 

Source: HOB
Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

Full Bio 

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

RPA is Meant to Automate the Routine Task
yesterday

How AI is going to change the lives of Visually Challenged People?
yesterday

How Organizations can get Best Out of Data Scientists?
yesterday

Understanding the Present Scenario and Future Outlook of Artificial Intelligence
2 days ago

Understanding the Past or History of AI
4 days ago

Scope of AI and Machine learning in India
26679 views

Skills Required To Become Data Scientists
14028 views

How to Learn Mathematics for Machine Learning?
12096 views

Difference between Artificial Intelligence, Machine Learning and Deep Learning
10140 views

Differentiating between Data Science, Big Data and Data Analytics
8769 views