TensorFlow

TensorFlow is the library for machine learning and deep learning developed by Google. The project page is https://www.tensorflow.org/ and all the code is open to the public on GitHub at https://github.com/tensorflow/tensorflow. TensorFlow itself is written with C++, but it provides a Python and C++ API. We focus on Python implementations in this book. The installation can be done with pip, virtualenv, or docker. The installation guide is available at https://www.tensorflow.org/versions/master/get_started/os_setup.html. After the installation, you can import and use TensorFlow by writing the following code:

import tensorflow as tf

TensorFlow recommends you implement deep learning code with the following three parts:

• inference(): This makes predictions using the given data, which defines the model structure

• loss(): This returns the error values to be optimized

• training(): This applies the actual training algorithms by computing gradients

We'll follow this guideline. A tutorial on...