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Fall20/NeuralNetworks2/README.md

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# Neural Networks Workshop 2 - Weight For it!
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This is all about learning in neural networks
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Previously we looked at how to create one and individually enter the weights and biases ourselves
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These are the slides for this workshop: https://docs.google.com/presentation/d/1Z5EzIUjgQvysiJxWwhJiOuM2Sq6ZLuiZKoyoNEfcows/edit?usp=sharing
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The Agenda:
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1. A brief review of the (vectorized) neural network
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2. Motivation for gradient descent
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3. Intuitive visual explanation of gradient descent
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4. Gradient descent formulated mathematically
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5. Motivation for backpropagation
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6. Backpropagation calculations
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7. Code implementation
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8. Live demo of learning
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9. Questions

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