Instructor: Amit Sethi, TAs: Neeraj Kumar, Gaurav Yadav, Niladri Bhattacharya, Ruchika, Classes: Mon@4, Tue@2, Thu@2, Office Hours: After class (3101)
ANNOUNCEMENTS
2016.12.04: End sem exam questions and solutions uploaded on the Exams page.
2016.11.18: Sample exam questions uploaded in the Exams page. End-sem will cover the entire syllabus, except HDLSS.
2016.11.18: Sample exam questions uploaded in the Exams page. End-sem will cover the entire syllabus, except HDLSS.
2016.11.17: Slides for M11 uploaded - Some learning algorithms for parameter estimation in PGMs.
2016.11.08: Assignments will be evaluated on Nov 14. Stay tuned for your slot announcement. Come prepared in a position to run code on demand.
2016.11.08: Reading list for PGMs and MCMC updated.
2016.11.08: Slides for intro to PGMs (message passing), and MCMC methods uploaded.
2016.10.21: Assignment 3 on LSTM text generation released. It is an easy assignment.
2016.10.21: Assignment 2 on CNN has been updated. New problem statement and dataset released, and deadline extended.
2016.10.17: Conditional Random Field, reading material linked.
2016.10.17: Week 8 (LSTM) slides uploaded.
2016.10.05: New testing data (without labels) uploaded for Assignment 2. This is to be used for submission. Deadline extended till Oct 18.
2016.10.05: Week 8 (Recurrent Neural Network) LSTM Detailed Diagram uploaded (see slides page).
2016.09.27: Week 8 (Recurrent Neural Network) reading material linked. First link is the must read.
2016.09.21: Assignment 2 released.
2016.09.21: Mid semester exam solution uploaded.
2016.09.12: Module 7 (Visualizing What CNNs Learn) slides uploaded.
2016.09.09: Week 7 (Visualizing What CNNs Learn) reading material linked.
2016.09.08: Module 6 (Why deep learning works) slides uploaded.
2016.09.08: Week 6 (Why deep learning works) reading material linked.
2016.08.30: Assignment 1 deadline extended to Wednesday (Sept 7) night.
2016.08.30: Module 5 (Specialized CNNs for image recognition) slides uploaded.
2016.08.26: Week 5 (Specialized CNNs for image recognition) reading material linked.
2016.08.23: Assignment 1 deadline extended to Wednesday (Aug 31) night.
2016.08.23: Module 4 (Simple Improvements for CNNs) slides uploaded.
2016.08.22: Module 3 (Introduction to CNNs) slides uploaded.
2016.08.20: Week 4 (Simple improvements to CNNs) reading material linked.
2016.08.19: Assignment 1 has been released. You have little over a week to submit it.
2016.08.19: IIT Guwahati students, please register on Moodle with password ee622.
2016.08.14: Week 3 (Introduction to Convolutional Neural Networks) reading material linked.
2016.08.08: Module 2 (Neural Networks) slides uploaded.
2016.08.05: Week 2 reading material linked.
2016.08.02: Module 1 (Logistic Regression and HDLSS Problems) slides uploaded.
2016.07.29: Week 1 reading material linked.
2016.07.28: Module 0 (Course Introduction) slides uploaded.
2016.12.04: End sem exam questions and solutions uploaded on the Exams page.
2016.11.18: Sample exam questions uploaded in the Exams page. End-sem will cover the entire syllabus, except HDLSS.
2016.11.18: Sample exam questions uploaded in the Exams page. End-sem will cover the entire syllabus, except HDLSS.
2016.11.17: Slides for M11 uploaded - Some learning algorithms for parameter estimation in PGMs.
2016.11.08: Assignments will be evaluated on Nov 14. Stay tuned for your slot announcement. Come prepared in a position to run code on demand.
2016.11.08: Reading list for PGMs and MCMC updated.
2016.11.08: Slides for intro to PGMs (message passing), and MCMC methods uploaded.
2016.10.21: Assignment 3 on LSTM text generation released. It is an easy assignment.
2016.10.21: Assignment 2 on CNN has been updated. New problem statement and dataset released, and deadline extended.
2016.10.17: Conditional Random Field, reading material linked.
2016.10.17: Week 8 (LSTM) slides uploaded.
2016.10.05: New testing data (without labels) uploaded for Assignment 2. This is to be used for submission. Deadline extended till Oct 18.
2016.10.05: Week 8 (Recurrent Neural Network) LSTM Detailed Diagram uploaded (see slides page).
2016.09.27: Week 8 (Recurrent Neural Network) reading material linked. First link is the must read.
2016.09.21: Assignment 2 released.
2016.09.21: Mid semester exam solution uploaded.
2016.09.12: Module 7 (Visualizing What CNNs Learn) slides uploaded.
2016.09.09: Week 7 (Visualizing What CNNs Learn) reading material linked.
2016.09.08: Module 6 (Why deep learning works) slides uploaded.
2016.09.08: Week 6 (Why deep learning works) reading material linked.
2016.08.30: Assignment 1 deadline extended to Wednesday (Sept 7) night.
2016.08.30: Module 5 (Specialized CNNs for image recognition) slides uploaded.
2016.08.26: Week 5 (Specialized CNNs for image recognition) reading material linked.
2016.08.23: Assignment 1 deadline extended to Wednesday (Aug 31) night.
2016.08.23: Module 4 (Simple Improvements for CNNs) slides uploaded.
2016.08.22: Module 3 (Introduction to CNNs) slides uploaded.
2016.08.20: Week 4 (Simple improvements to CNNs) reading material linked.
2016.08.19: Assignment 1 has been released. You have little over a week to submit it.
2016.08.19: IIT Guwahati students, please register on Moodle with password ee622.
2016.08.14: Week 3 (Introduction to Convolutional Neural Networks) reading material linked.
2016.08.08: Module 2 (Neural Networks) slides uploaded.
2016.08.05: Week 2 reading material linked.
2016.08.02: Module 1 (Logistic Regression and HDLSS Problems) slides uploaded.
2016.07.29: Week 1 reading material linked.
2016.07.28: Module 0 (Course Introduction) slides uploaded.