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Schedule

August

Week	Topic	Material	Reading	Assignments
Week 1: August 26 - 30	Overview of course and the machine learning field. Reminder of how python is used in machine learning.	01 Introduction to CS545 02 Searching for Good Weights in a Linear Model	From Python to Numpy, Chapters 1 - 2 Scipy Lectures, Section 1 Visualization with Matplotlib Deep Learning, Chapters 1 - 5.1.4

Week	Topic	Material	Assignments
Week 2: September 2 - 6	Review of gradients.	02 Searching for Good Weights in a Linear Model 03 Three Gradient Descent Algorithms
Week 3: September 9 - 13 Class cancelled Thursday, Sept 12th	Implementing neural networks with numpy to predict real-valued variables. Deriving gradients.	04 Scaled Conjugate Gradient 05 Introduction to Gradient Descent for Neural Networks	A1 Gradient Descent due Tuesday, Sept 10th, at 10:00 PM
Week 4: September 16 - 20	Error gradients for neural networks as matrix equations.	06.1 Gradient Descent for Two-Layer Neural Networks Hand drawn notes from lecture
Week 5: September 23 - 27	Introduction to Pytorch and automatic differentation.	07 Automatic Differentation in Pytorch 08 Automatic Differentiation, SGD, and Adam with Pytorch	A2.4 Three Layer Neural Network due Wednesday, Sept 25th, at 10:00 PM

Week	Topic	Material	Reading	Assignments
Week 6: September 30 - October 4	Neural Network class. Classification.	09.1 Neural Network Class 10 Classification with Linear Logistic Regression
Week 7: October 7 - 11	Classification with multiple labels.	11 Classification with Neural Networks	Paper on need for causality
Week 8: October 14 - 18	Convolutional neural networks in numpy, pytorch and tensorflow.	12 Multilabel Classification 13.1 Pytorch nn Module		A3.4 Classification due Wednesday, Oct 16th, at 10:00 PM
Week 9: October 21 - 25	Convolutional nets. Reinforcement learning.	14 NeuralNetwork_Convolutional and CIFAR-10 15 Introduction to Reinforcement Learning		Project proposal due at 10 pm Wednesday evening, October 23rd.

Week	Topic	Material	Reading	Assignments
Week 10: October 28 - November 1	Reinforcement learning.	16 Reinforcement Learning with Neural Network as Q Function 17 Reinforcement Learning to Control a Marble	Reinforcement Learning: An Introduction, by Richard Sutton and Andrew Barto, 2nd edition	A4.3 Convolutional Neural Networks due Wednesday, Oct 30th, at 10:00 PM
Week 11: November 4 - 8	Natural language processing.
Week 12: November 11 - 15	Deep learning application development.
Week 13: November 18 - 22	Student presentations.
Fall Recess: November 25 - 29