Neural Network Tutorials - Herong's Tutorial Examples - v1.22, by Herong Yang
Performance Evaluation Metrics
This chapter provides introductions and tutorials on performance evaluation metrics. Topics include introduction of MSE (Mean Squared Error), CI (Concordance Index) and PCC (Pearson Correlation Coefficient).
Takeaways:
Notes on the output:
Table of Contents
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)
GAN (Generative Adversarial Network)