Generative Deep Learning with Python

 

 

TABLE OF CONTENTS

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Who we are

Our Philosophy:

Our Expertise:

Introduction

Chapter 1: Introduction to Deep Learning

1.1 Basics of Neural Networks

1.1.1 What is a Neural Network?

1.1.2 Components of a Neural Network

1.1.3 The Perceptron: Building Block of Neural Networks

1.1.4 Backpropagation and Gradient Descent

1.2 Overview of Deep Learning

1.2.1 What is Deep Learning?

1.2.2 Why Deep Learning?

1.2.3 Deep Learning vs Machine Learning

1.2.4 Types of Deep Learning Models

1.2.5 Challenges and Limitations of Deep Learning

1.3 Practical Exercises

1.3.1 Theoretical Questions

1.3.2 Coding Exercises

Chapter 1 Conclusion

Chapter 2: Understanding Generative Models

2.1 Concept and Importance of Generative ...