This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst.
This open book is licensed under a Creative Commons License (CC BY-NC). You can download Tensorflow 2 Tutorial ebook for free in PDF format (0.7 MB).
Table of Contents
Tensors, Operations, Variables and Automatic Differentiation
Models, Layers and Activations
A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a disadvanta...
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