Week 10: March 17-March 24

Interactive session, Wednesday March 24

Guest lecture from elliptic labs 

• Announcement

• Jupyter notebook

Part 2

• Recording
• Links:
  • https://app.inferkit.com/demo
  • https://openai.com/blog/dall-e
  • https://playground.tensorflow.org

Weekly lecture:

Slides

Video Recordings:

1. The deep learning revolution
2. Deep feed-forward neural networks
3. Convolutional neural networks and image processing
4. Recurrent neural networks and language processing

Recommended readings:

There are no mandatory readings this week.

For the Deep-learning revolution, there are several popular introductions. The Great AI Awakening, from NY Times, Dec 2016, is an interesting report from the time when the media started to recognize the revolution. For they who want to dig deeper into the revolution, we recommend the recent book by Melanie Mitchell, Artificial Intelligence, 2019.

If you are interested in knowing more about CNNs, this page from the Stanford course CS231n, is highly recommended. We have had problems finding presentations of RNNs which go beyond the slides without being highly technical.

If you are ready for practical experience with deep learning, you may start with Paolo Perrotta, Programming Machine Learning (in O'Reilly library), Ch. 16 ff. which uses Tensorflow and Keras. If you are ready for go one step further, you may proceed with Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, (2. ed.) by Aurelien Geron.

Group sessions

• Weekly exercises
• Solutions