Instructors:

• Hai Pham. Office: GHC 5417, Wednesdays 1:30 - 2:30 PM, now via Zoom
• Michael Shamos. Office: GHC 6707

TAs:

• Jianlin Du (jianlind at andrew.cmu.edu). Office: GHC 5th Commons, Mondays 10:30 - 11:30 AM, now via Zoom
• Yiyang Ge(yiyangge at andrew.cmu.du). Office: GHC 5th Commons, Mondays 2:00 - 3:00 PM, now via Zoom

Meetings: Tue and Thu 10:30 - 11:50 at GHC 4102, now via Zoom

Piazza: https://piazza.com/cmu/spring2020/11695

This is a hands-on implementation course focusing on building deep learning networks using Python and Tensorflow/Pytorch. You will develop the following skills:

• Program supervised learning, un-supervised learning and reinforcement learning
• Apply deep learning models, including feedforward neural networks, convolutional neural networks, recurrent neural networks, encoder-decoder and other probabilistic models
• Construct computer vision, machine translation, control systems and other applications.