CSC 414 Neural networks

Course details, topics, grades download

Lecture time: every Tuesday from 9:00 ~11:00 AM.

Place: 1206, office hours: Tuesday 1:00 ~2:00 & Wednesday 1:00~2:00.

Planned Lectures: (tentative)

1	Fundamental concepts: neuron models and basic learning rules.
2	Shallow Neural Networks, build a neural network with one hidden layer, using forward propagation and backpropagation.
3	Deep Neural Networks- I
4	Deep Neural Networks- II
5	Optimization Algorithms
6	Hyperparameter Tuning, Batch Normalization
7	Midterm Exam
8	Foundations of Convolutional Neural Networks
9	Deep Convolutional Models: Case Studies (transfer learning)
10	Sequence Modeling: Recurrent and Recursive Nets
11	Autoencoders
12	Structured Probabilistic Models for Deep Learning
13	basics of Deep Generative Models
14	Revision

Lab plan: to be announced.