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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