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Physics 22: Computational Physics Laboratory III

Machine Learning for Physics

Course Description

  • 6 units (0-6-0)
  • Prerequisites: CS 1 or equivalent experience with computers and Ph20/Ph21 or equivalent
  • Course details: see Canvas page

Topics Covered

We will use python and standard ML tools to solve problems of

  • Unsupervised learning
  • Supervised learning
  • Reinforcement learning.

Reading and Assignments

Assignments are posted here. All assignments are due by 11:59pm on the due dates unless otherwise specified.

Week of... Assignment Due date
March 30 Neural networks to classify handwritten digits Apr 10
Apr 13 Using Tenslorflow library to build and optimize neural networks with MNIST Apr 24

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