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layout: page
title: Schedule
permalink: /schedule/
---
| 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 |
|
Author: Sebastian Seung
Created: 2017-02-05 Sun 23:24
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