thejakeyboy / umich-eecs545-lectures
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
☆220Updated 8 years ago
Alternatives and similar repositories for umich-eecs545-lectures:
Users that are interested in umich-eecs545-lectures are comparing it to the libraries listed below
- Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.☆97Updated 8 years ago
- ☆77Updated 8 years ago
- ☆82Updated 8 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 8 years ago
- ☆31Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- A collection of tutorials on neural networks, using Theano☆222Updated 2 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- Torch notebooks and slides for the Bay Area Deep Learning Summer School☆97Updated 8 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago
- Materials for Bayesian Methods in Machine Learning Course☆88Updated 5 months ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 7 years ago
- Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas☆24Updated 11 years ago
- Learn machine learning for free, because free is better than not-free.☆224Updated 5 years ago
- Theano-based Alexnet☆229Updated 7 years ago
- Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)☆73Updated last year
- Practical 1: Introduction to lua and torch☆136Updated 8 years ago
- Slides and exercises for the Deep Learning Summer School 2015 programming tutorials☆389Updated 9 years ago
- Course materials for STA663☆37Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Assignments: CNN for Visual Recognition.☆51Updated 9 years ago
- A collection of tutorials from Deep Learning conferences.☆32Updated 8 years ago
- ☆196Updated 12 years ago
- DS-GA-1005 Inference and Representation☆15Updated 7 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- Studying Reinforcement Learning Guide☆151Updated 7 years ago