Neural Network Tutorials - Herong's Tutorial Examples

∟Building Neural Networks with Python

This chapter provides introductions and tutorial on building neural networks with Python. Topics include installing Python on macOS; using NumPy library for matrix operations; using SciPy Library for mathematical functions.

Python Environment on macOS

NumPy - Python Library for Matrix operations

SciPy - Python Library for Mathematical Functions

Takeaways:

• Python 3 has more public libraries available for building neural network models than Python 2.
• NumPy is widely used by Python users for matrix operations required in neural network models.
• SciPy is widely used by Python users for mathematical functions required in neural network models.

Table of Contents

 About This Book

 Deep Playground for Classical Neural Networks

►Building Neural Networks with Python

 Simple Example of Neural Networks

 TensorFlow - Machine Learning Platform

 PyTorch - Machine Learning Platform

 Gradio - ML Demo Platform

 CNN (Convolutional Neural Network)

 RNN (Recurrent Neural Network)

 GNN (Graph Neural Network)

 GAN (Generative Adversarial Network)

 Performance Evaluation Metrics

 References

 Full Version in PDF/EPUB

Building Neural Networks with Python - Updated in 2023, by Herong Yang