Fall 2017


Tentative Schedule

DateLectureMisc
 Introduction 
Wed Aug 30Welcome 
Mon Sep 04No Class 
Wed Sep 06Background Review I 
Mon Sep 11Background Review IIAssignment 1 Out
 Deep Networks 
Wed Sep 13Feed Forward Networks 
Mon Sep 18Feed Forward Networks: Learning 
Wed Sep 20Backpropagation 
Mon Sep 25OptimizationAssignment 1 Due, Assignment 2 Out
 Supervised Learning 
Wed Sep 27Convolutional Neural Networks 
Mon Oct 02Efficient Convolution 
Wed Oct 04Sequences: RNNs and LSTMs 
Mon Oct 09Deep Learning Frameworks 
Wed Oct 11Practical Tricks for Training - IAssignment 2 Due, Assignment 3 Out
Mon Oct 16Practical Tricks for Training - II 
Wed Oct 18Mid-Term Review 
Mon Oct 23No-class 
Wed Oct 25No-class 
Mon Oct 30Mid-Term ExamAssignment 3 Due
Wed Nov 01Mid-Term Exam Review 
Mon Nov 06ApplicationsAssignment 4 Out
Wed Nov 08Applications 
 Unsupervised Learning 
Mon Nov 13Autoencoders 
Wed Nov 15Deep Generative Models - I 
Mon Nov 20Deep Generative Models - IIAssignment 4 Due
Wed Nov 22Deep Generative Models - IIAssignment 5 Out
Mon Nov 27Applications of Deep Generative Models 
 Assorted Topics 
Wed Nov 29Max-Margin Learning and Siamese Networks 
Mon Dec 04Deep Reinforcement Learning - I 
Wed Dec 06Deep Reinforcement Learning - IIAssignment 5 Due
Mon Dec 11Project PresentationsAssignment 4 Due
Wed Dec 13Project Presentations