CSCI 4050U
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Data processing
Basics of NDArray ✅
Vectorized Computation ✅
Data Analytics Features of NumPy ✅
Plots for machine learning ✅
Mathematical Background
Linear Algebra ✅
Calculus and Derivatives ✅
Optimization Using Gradient ✅
PyTorch and Autograd ✅
Simple Model Fitting
Regression ✅
Logistic Regression ✅
Multi-layer Perceptron ✅
Machine Learning
Overview of Machine Learning ✅
Machine Learning Workflow ✅
Modular Structure of Trainer ✅
Convolution Networks
Convolution ✅
Convolution and Pooling Layeres ✅
Deep Convolutional Networks ✅
Residual Networks ✅
Recurrent Networks
Text Encoding ✅
Sequence Classification ✅
Sequence Classification with PyTorch RNN ✅
Sequence Learning Using Long-Short Term Memory (LSTM) [draft] ✅
Advanced Topics
Auto Encoder ✅
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