This Repo contains projects from CS-462-Introduction to Deep Learning
Deep Learning Topics include:
▪ Fundamental and advanced deep learning methods
▪ MLP, CNN, RNN, GRU, LSTM, attention, Transformer, batch normalization
▪ Word embedding, language models, machine translation, style transfer
▪ VGG, NiN, GoogLeNet, ResNet, object detection/segmentation
Advanced Topics
▪ Deep Reinforcement Learning
▪ Deep Generative Models
▪ Variational Autoencoders (VAE), Generative Adversarial Networks (GANs), etc.
▪ Bayesian Deep Learning
All projects are done using PyTorch, included are the neccessary data files and the python notebooks.