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Alfredo Canziani edited this page Jan 22, 2017 · 8 revisions

This is roughly the structure that I have in mind.
I will cover only Python 3 given that Python 2 has left 3 years of life, more or less (see retirement count down).

  1. Getting started

  2. Python 3 crash course
    (basic operations, loops, classes)

  3. torch package
    (Tensors creation, mathematical operations and slicing)

  4. Variables and Functions
    (intro to automatic differentiation)

  5. Neural networks

  6. Forward

  7. Backward

  8. Training

  9. Convolutional networks

  10. Recurrent networks

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