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Introduction to Neural Networks >> Content Detail



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Calendar

Lec #TopicsKey DATES
1From Spikes to Rates
2Perceptrons: Simple and Multilayer
3Perceptrons as Models of Vision
4Linear NetworksProblem set 1 due
5Retina
6Lateral Inhibition and Feature SelectivityProblem set 2 due
7Objectives and OptimizationProblem set 3 due
8Hybrid Analog-Digital Computation

Ring Network
9Constraint Satisfaction

Stereopsis
Problem set 4 due
10Bidirectional Perception
11Signal ReconstructionProblem set 5 due
12Hamiltonian Dynamics
Midterm
13Antisymmetric Networks
14Excitatory-Inhibitory Networks

Learning
15Associative Memory
16Models of Delay Activity

Integrators
Problem set 6 due one day after Lec #16
17Multistability

Clustering
18VQ

PCA
Problem set 7 due
19More PCA

Delta Rule
Problem set 8 due
20Conditioning

Backpropagation
21More BackpropagationProblem set 9 due
22Stochastic Gradient Descent
23Reinforcement LearningProblem set 10 due
24More Reinforcement Learning
25Final Review
Final Exam

 








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