Modules:

• MLP & Backprop Dungeon [slides]

• CNN Adventure Island [slides]

• RNN & Sequence Realm [slides]

• Generative Arts Lab [slides]

• Deep Reinforcement Learning Arena [slides]

Homeworks (check course page in VC for detailed description):

• HW1: Analyzing football games using YOLO, ByteTrack & Homography (deadline: 13th Khordad)

• HW2: Sentiment Analysis using RNN, LSTM (deadline: 13th Khordad)

• HW3: safe driving in MetaDrive (deadline: 10th Tir)

Torch Tutorials:

• Pytorch fundamentals & workflow

• Custom datasets & going modular

• Tracking Experiments

• RNN basics in torch

Extra Tutorials:

• Docker

• YOLO