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layout page
title Schedule
permalink /schedule/
<script src="https://code.jquery.com/jquery-3.1.1.js" integrity="sha256-16cdPddA6VdVInumRGo6IbivbERE8p7CQR3HzTBuELA=" crossorigin="anonymous"></script> <script> $(document).ready(function(){ $('td:contains("Pset")').closest('tr').css('background-color','LemonChiffon'); $('td:contains("exam")').closest('tr').css('background-color','LightSalmon'); }); </script>
Lecture Feb. 6 overview and simple perceptron  
Lecture Feb. 8 delta rule  
Pset 1 due Feb. 13 simple perceptrons  
Lecture Feb. 13 multilayer perceptrons  
Lecture Feb. 15 backpropagation  
Pset 2 due Feb. 20 multilayer perceptrons  
Lecture Feb. 20 stochastic gradient descent  
Lecture Feb. 22 generalization and regularization  
Pset 3 due Feb. 27 black art of backprop  
Lecture Feb. 27 convolution and pooling  
Lecture Mar. 1 ConvNet backprop  
Pset 4 due Mar. 6 LeNet  
Lecture Mar. 6 visual object recognition  
Lecture Mar. 8 image to image transforms  
Lecture Mar. 13 biological vision  
Midterm Mar. 15 in-class exam  
Spring break      
Lecture Mar. 27 deep learning frameworks  
Lecture Mar. 29 parallel and distributed algorithms  
Pset 5 due Apr. 3 ConvNets at scale  
Lecture Apr. 3 PCA and clustering  
Lecture Apr. 5 autoencoders  
Pset 6 due Apr. 10 unsupervised learning  
Lecture Apr. 10 contrastive Hebbian learning  
Lecture Apr. 12 backprop through time  
Pset 7 due Apr. 17 recurrent nets  
Lecture Apr. 17 MLPs for language  
Lecture Apr. 19 RNNs for language  
Pset 8 due Apr. 24 language modeling  
Lecture Apr. 24 policy gradient  
Lecture Apr. 26 value function  
Pset 9 due May 1 reinforcement learning  
Lecture May 1 ICA and NMF  
Lecture May 3 unsupervised learning in the brain  
Final TBA final exam