Advanced Predictive Models 576: Fall 2019


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Recent developments in deep learning

This is an interesting project with all the latest advancements in deep learning and their applications, with prototyping code https://paperswithcode.com/sota

16 October 31, 2019
About the Advanced Predictive Models 576: Fall 2019 category 1 January 14, 2019
D-separation observed variables 3 December 5, 2019
NN based matrix factorization, regularization 1 December 2, 2019
Internship Opportunities 14 November 26, 2019
Gibbs Sampling - HW4 Q7 4 November 26, 2019
Gibbs sampling visualization 1 November 22, 2019
Assignment 4 considerations 3 November 21, 2019
Recitation Schedules 12 November 13, 2019
Unable to ssh into server: "client_loop: send disconnect: Connection reset by peer" 2 November 12, 2019
Reinforcement learning (YouTube series) 1 November 6, 2019
Project Ideas for Deep Learning 13 November 1, 2019
Course grades for a2, a3, midterm 3 October 31, 2019
Midterm Grades & Reviewing Midterm Papers 1 October 31, 2019
Assignment 4 Topics Covered in Lectures? 4 October 27, 2019
Spark and PyTorch 6 October 24, 2019
Server access when not actively using jupyter notebook 2 October 17, 2019
Why Training loss in sometimes higher than Validation loss 1 October 16, 2019
Assignment 3 extension 6 October 16, 2019
Office Hour Change for Thurs Oct 17 1 October 16, 2019
Assignment 3 question 2 link 2 October 15, 2019
Exam 1 review materials 2 October 10, 2019
RNN sentiment analysis code (assert and squeeze) 2 October 8, 2019
Assignment 3, Q1 markov models 2 October 4, 2019
GPU memory error: out of memory 11 October 2, 2019
Assignment 2 Question 1 3 October 2, 2019
Assignment 2, question 2 6 October 1, 2019
PyTorch: custom loss functions 3 September 30, 2019
Informal lecture videos for 576 3 September 23, 2019
Gradient Descent Resource 1 September 17, 2019