Neural Networks and Deep Learning (UCLA ECE C147)

Coursework from UCLA's ECE C147. Every model here is implemented from scratch in NumPy — no deep learning frameworks — covering the path from linear models to convolutional networks.

Contents

Module	Topic	Includes
01-linear-regression	Linear regression	Code, written derivations
02-knn-svm-softmax	k-nearest neighbors, SVM, softmax classifier	Code
03-backprop-neural-nets	Backpropagation and fully connected networks	Code, written derivations
04-batchnorm-dropout	Batch normalization and dropout	Code
05-cnns	Convolutional neural networks	Code

Topics

Linear regression · k-NN · SVMs · softmax classification · backpropagation · batch normalization · dropout · CNNs