Deep Playground for Classical Neural Networks

This chapter provides introductions and tutorials on Deep Playground. Topics include introduction to Deep Playground; solving the classification problems without and with hidden layers; impact comparison of training set, network configuration, learning rate, and activation function.

What Is Deep Playground

Simple Model in Playground

Impact of Extra Input Features

Impact of Additional Hidden Layers and Neurons

Complex Model in Playground

Impact of Training Set Size

Impact of Neural Network Configuration

Impact of Learning Rate

Impact of Activation Functions

Takeaways:

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

 CNN (Convolutional Neural Network)

 RNN (Recurrent Neural Network)

 GNN (Graph Neural Network)

 References

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