backpropagation topic
notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation det...
Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
Blur-and-Clear-Classification
Classifying the Blur and Clear Images
neural-network-from-scratch
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
RCNN_MDP
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理...
Medium-Python-Neural-Network
This code is part of my post on Medium.
chol-rev
Backpropagate derivatives through the Cholesky decomposition
simple-machine-learning-demo
simple machine learning demo