Workshops

Spring 2019 MIC Workshops

Workshop 1: Deep Learning, Neural Networks and PyTorch

Slides: https://goo.gl/v3e65W

Lab: https://goo.gl/j3DAfE

Solutions to the lab:

Workshop 2: Neural Networks Part 2: Optimization

Slides: https://goo.gl/YmK5bB

Lab: https://goo.gl/NZVVGR

Solutions to the lab:

Workshop 3: Convolutional Neural Networks and Computer Vision

Slides: https://goo.gl/cW2sMb

Lab: https://goo.gl/VorvEb

Solutions to the lab:

Workshop 4: Recurrent Neural Networks and LSTMs

Slides: https://goo.gl/dP34S9

Lab: https://goo.gl/1aer7H

Solutions to the lab:

Workshop 5: Reinforcement Learning

Slides: http://tinyurl.com/yxbjohaw

Lab: https://goo.gl/fXJBp5

Solutions to the lab:

Workshop 6: Generative Adversarial Networks

Slides: http://tiny.cc/gans-slides

Lab: http://tiny.cc/gans-lab

Solutions to the lab: http://tiny.cc/gans-lab (code already working)

Fall 2018 MIC Workshops

Workshop 1: Deep Learning, Neural Networks and PyTorch

Slides: https://goo.gl/dHHsai

Code: https://goo.gl/j3DAfE

Workshop 2: Neural Networks Part 2: Optimization

Slides: https://goo.gl/DvWdgm

Code: https://goo.gl/NZVVGR

Workshop 3: Convolutional Neural Networks and Computer Vision

Slides: https://goo.gl/iVzocJ

Code: https://goo.gl/VorvEb

Workshop 4: Recurrent Neural Networks and LSTMs

Slides: https://goo.gl/QzVeJR

Code: https://goo.gl/HZ4Q6F

Workshop 5: Reinforcement Learning

Slides: https://goo.gl/rUz4c7

Code: https://goo.gl/fXJBp5

Spring 2018 MIC Workshops

Workshop 1: Deep Learning, Neural Networks and TensorFlow

Slides: https://bit.ly/2qz4S2p

Code: https://bit.ly/2JMu0vp

Workshop 2: Optimization and Gradient Based Learning

Slides: https://bit.ly/2qA0wbs

Code: https://bit.ly/2ER9XZe

Workshop 3: Convolutional Neural Networks

Slides: https://bit.ly/2qAnj6W

Code: https://bit.ly/2HoDWN9

Workshop 4: Reinforcement Learning

Slides: https://bit.ly/2KpXYFI

Code: https://bit.ly/2HNToQP

Workshop 5: Generative Adversarial Networks

Slides: https://bit.ly/2IaD6nN

Workshop 6: Recurrent Neural Networks

Slides: https://bit.ly/2HM5zwR

Code: https://bit.ly/2reL6JS