Machine Learning Tutorial 7 - Backpropagation and Neural Networks

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0:19 - Chain Rule for Differentiation Recap
7:24 - Perceptrons and Gradient Descent Recap
14:03 - Neural Networks Introduction
41:55 - Neural Networks Vector Formulation
59:14 - Training a Neural Network via Gradient Descent
1:05:40 - Case 1: Learning an Output Layer Weight
1:26:46 - Case 2: Learning an Intermediate Layer Weight
  1. O G
  2. Machine Learning
  3. Artificial Intelligence
  4. Backpropagation
  5. Neural Networks
  6. Deep Learning
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