Learning TensorFlow is easy with these online Resources

Whether its developing Machine learning models or solving Machine learning problems TensorFlow is considered as one of the best open source software library among Machine learning community for building Machine Learning models . Developed by Google Brain team TensorFlow provides stable Python and C APIs and is preferred by any tech giant today for ML models. Due to the wide usage of the software library and its ease of implementation ML models it has become utmost important for any Machine learner enthusiast to develop a basic and advanced understanding of TensorFlow to work in the library. While there are many resources available online providing courses for TensorFlow picking a right one is always a difficult and confusing task for learners. To free you on that part, I have come here with the best online resources on TensorFlow that I have personally found useful. You must try learning from them today.

Here goes my best list of online Resources for TensorFlow :

TensorFlow White Paper

Released by the Google researchers TensorFlow White paper provides a detailed explanation about TensorFlow, the Basic concepts involved in it, its Implementation and its execution in a lucid manner. The explanations are provided using good visualizations as well to provide the learner a clear understanding about the library. Everything tat you should know about working in TensorFlow is provided in the paper so clearly and so elaborately that you will end up in developing a brief idea of the whole concept of TensorFlow. It doesn't matter even if you do not have any prior knowledge of the software. The explanations are detailed and clear.

TensorFlow Machine Learning Projects

The book will provide you an in-depth knowledge of using TensorFlow for Machine learning projects and in dealing with various real world projects like incorporating NLP (Natural Language Processing), recommender systems, Generative Adversarial Networks (GANs) etc using TensorFlow . You will understand the TensorFlow ecosystem using various data-sets and techniques with the help of this book. The book is meant for anyone who is a Data Analyst, Data Scientist, Machine Learning Professional or a deep learning enthusiast having some prior knowledge of TensorFlow.

TensorFlow in 1 Day:

This is one of the my favorite book that I consider on TensorFlow. Starting from the basic understanding of what a TensorFlow is the book provides a detailed understanding of the the various concepts like tensor shape, type, graph, sessions, operators, tensorboard. A range of topics on Scikit learn, Linear Regression, TensorFlow ANN, Kernel methods are covered in the book. The book is simple to read and useful to learn from.

Github

You will find a range of tutorials for TensorFlow in Github which is an online platform widely famous among the Machine learning community. An in depth knowledge of working in TensorFlow by effective youtube videos are provided in the platform which will impart you with the most useful skills you require to develop while working in TensorFlow.

TensorFlow Machine Learning Cookbook

The book will teach you how to use TensorFlow for complex data computations and how to gain more insights from your data. You will learn training models, model evaluation, sentiment analysis, Artificial neural networks and much more with this book. Also, a number of concepts reltaed to RNNs, CNNs, GANs, Reinforcements learning , capsule neural networks are explained using TensorFlow in the book.

Source: HOB

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