Practical Deep Reinforcement Learning with Python by Gridin Ivan;

Author:Gridin, Ivan; [Gridin, Ivan]
Language: eng
Format: epub
Publisher: BPB Publications
Published: 2022-07-15T00:00:00+00:00

Structure

In this chapter, we will discuss the following topics:

Installation

Derivative calculators

Deep learning basics

Deep learning layers

Neural network architecture

Supervised learning and loss function

Training and optimizer

Handwritten digit recognition model

Objectives

After completing this chapter, you will have mastered the basics of deep learning and its implementation with TensorFlow and PyTorch. You will also have understood how a neural network is designed, trained, and applied to real-world problems.

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