Instructors:
TAs:
- Yashovardhan Chaturvedi (yashovac at andrew.cmu.edu). Office: GHC 6708 Fri 1:30 - 2:30 PM
- Liang Zhang (liangz1 at andrew.cmu.du). Office: GHC 5417 Tue 1:00 - 2:00 PM
Meetings: Tue and Thu 10:30 - 11:50 at GHC 4215
Piazza: https://piazza.com/cmu/spring2019/cs11695
This is a hands-on implementation course focusing on building deep learning networks using Python and Tensorflow. You will develop the following skills:
- Program supervised learning, semi- and un-supervised learning, deep reinforcement learning, probabilistic networks
- Apply deep learning models, including multilayer perceptrons, convolutional neural networks, recurrent neural networks, encoder-decoder and probabilistic models
- Construct computer vision, machine translation, game playing systems and others.
