DL Book 2 - Building Your First Neural Network with Python for Novices

Table of Contents

1. Introduction

1.1 What is a Neural Network?

1.2 Why Python?

1.3 How to Install Python and Required Libraries 1.4 How to Use This Book

2. Basic Concepts of Neural Networks

2.1 Neurons and Layers

2.2 Activation Functions

2.3 Weights and Biases

2.4 Forward and Backward Propagation

2.5 Loss and Optimization Functions

3. Building a Neural Network from Scratch

3.1 Creating a Dataset

3.2 Initializing the Network Parameters

3.3 Implementing the Forward and Backward Pass 3.4 Training the Network and Evaluating the Results 4. Using a Neural Network Framework

4.1 Introduction to PyTorch

4.2 Creating a Dataset with PyTorch

4.3 Defining a Neural Network Model with PyTorch 4.4 Training and Testing the Model with PyTorch

5. Applying Neural Networks to Different Problems 5.1 Classification

5.2 Regression

5.3 Image Recognition

5.4 Natural Language Processing

6. Conclusion

6.1 Summary of the Main Points

6.2 Further Resources and References