CS 747
Tentative Schedule (subject to change)
Date Topic, Handouts Resources Aug 23 Introduction and course logistics slides
Machine Learning Introduction slides
Python/numpy tutorial zip file
Goodfellow Ch 1-4 Aug 30 Linear Classifiers, Logistic Regression, Perceptron slides
SVM, Bias and variance slides
Multi-class classification slides
logistic regression notes Sept 6 Neural Networks, backpropagation slides Sep 13 Convolutional Neural Networks, slides PyTorch tutorial Sep 20 Advanced Traning slides , Object Detection slides Dense Prediction
Sep 27 Visualization, CNN architectures slides, Dense prediction slides classification architectures papers AlexNet, VGG, ResNet Oct 4 Recurrent Networks slides
Temporal models slidesOct 11 Fall Break - classes do not meet Oct 18 Generative Adversarial Networks slides Project information Oct 25 RBM's, Autoencoders, Variational AE slides Nov 1 Attention models slides Nov 8 Transformers slides Nov 15 Metric and unsupervised learning slides Nov 22 Advesarial Exmaples slides Nov 29 Last Lecture Deep Reinforcement Learning part 1, part 2 Project guidelines
Formating Instructions latexPaperkit.tar.gz , conference_template.doc