Neural Networks: Theory and Applications
COS 485
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Organization of synaptic connectivity as the basis of neural computation and learning. Multilayer perceptrons, convolutional networks, and recurrent networks. Backpropagation and Hebbian learning. Models of perception, language, memory, and neural development.
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Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 18
- Capacity: 50
- Class Number: 42161
- Schedule: MW 11:00 AM-12:20 PM - McCosh Hall 4
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 10
- Capacity: 30
- Class Number: 42162
- Schedule: Th 09:00 AM-09:50 AM - Friend Center 110
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 8
- Capacity: 30
- Class Number: 42163
- Schedule: Th 12:30 PM-01:20 PM - Sherrerd Hall 001
Section P03
- Type: Precept
- Section: P03
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 42164
- Schedule: Th 07:30 PM-08:20 PM