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Classroom Contents
Neural Nets - Rotation and Squashing
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- 1 – Welcome!
- 2 – Affine transformations and non-linearities
- 3 – Affine transformation: intuition
- 4 – Summary slide
- 5 – Jupyter and PyTorch
- 6 – Input data
- 7 – Coding a 2×2 linear transformation & Gilbert Strang
- 8 – Coding a 2×2 linear transformation w/ PyTorch
- 9 – Hyperbolic tangent
- 10 – Rotation + squashing + rotation: ooooh, a neural net
- 11 – Rectifying linear unit ReLU
- 12 – Shoutout to @vcubingx and his animation
- 13 – Spiky transformation: what happen here?
- 14 – A *very deep* neural net
- 15 – A deep net with tanh
- 16 – Summary of today lesson
