Hands-On Neural Networks with Keras
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TensorFlow

TensorFlow is an open source software library for high-performance numerical computation using a data representation known as tensors. It allows people like me and you to implement something called dataflow graphs. A dataflow graph is essentially a structure that describes how data moves through a network, or a series of processing neurons. Every neuron in the network represents a mathematical operation, and each connection (or edge) between neurons is a multidimensional data array, or tensor. In this manner, TensorFlow provides a flexible API that allows easy deployment of computation across a variety of platforms (such as CPUs, GPUs, and their very own Tensor Processing Units (TPUs)), and from desktops, to clusters of servers, to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team, it provides an excellent programmatic interface that supports neural network design and deep learning.