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Schedule
Week 4 Feb 2 |
Neural Network Basics
- - Perceptron
- - Stochastic Gradient Descent / Logistic Regression
- - Feature Engineering / Regularization
+ - Perceptron Revisited
+ - Gradient Descent
+ - Forward Propagation
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Quiz 1 |
Course Project Teams Formed Pre-proposal DUE |
@@ -168,8 +168,7 @@ Schedule
Week 5 Feb 9 |
1. Neural Network Continued:
- - Neural Networks
- - Backpropagations
+ - Back propagations
2. Cloud computing service tutorial (TA)
3. Deep Learning Software Tutorial (TA)
|
@@ -179,9 +178,10 @@ Schedule
Week 6 Feb 16 |
- 1. Training Neural Networks
- 2. Convolutional Neural Networks
- 3. Recurrent Neural Networks
+ Different types of Neural Networks:
+ 1. Convolutional Neural Networks
+ 2. Recurrent Neural Networks
+ 3. Graph Neural Networks
|
|
Proposal and Literature Review DUE |
@@ -235,8 +235,9 @@ Schedule
Week 12 Mar 29 |
- 1. Graph Neural Networks
- 2. ML Scalability and Systems
+ 1. Advanced Graph Neural Networks
+ 2. ML Scalability and Systems
+ 3. ML Advice?
|
|
Assignment 2 DUE |