December 2019
Intermediate to advanced
563 pages
10h 34m
English
In this chapter, we will describe a very important topic in deep learning fundamentals, the basic functions that deep learning is built on. Then we will try to build layers from these functions and combine these layers together to get a more complex model that will help us solve more complex problems, and all that will be described by TensorFlow examples.
First we will describe the smallest component of almost any deep neural network, which is the neuron and sometimes called perceptron . We will discuss it in some detail, and we will deep dive ...
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