CS486/686 Spring 2023 - Introduction to Artificial Intelligence

GPU and TPU Acceleration

For GPU and TPU acceleration, feel free to use Google's Colaboratory environment. This is a free cloud service where you can run Python code (including TensorFlow and PyTorch, which are pre-installed) with GPU or TPU acceleration. A virtual machine with two CPUs and one GPU or TPU will run up to 12 hours after which it must be restarted. The following steps are recommended:

• Create a Python notebook in Google Colab
• Click on "edit", then "notebook settings" and select "None" (CPU), "GPU" or "TPU" for hardware acceleration.

Textbooks

Complementary readings in the textbooks are indicated for every lecture in the course schedule.

• [RN3] 3rd edition of Artificial Intelligence: A Modern Approach by Russell and Norvig
• [P] 2nd edition of Causality: Models, Reasoning and Inference by Pearl
• [ZLLS] Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola, Dive into Deep Learning (forthcoming)