Courses

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  1. 1. Project Setup with Node
  2. 2. Introduction to Neural Networks
  3. 3. Introduction to p5 for Visualization
  4. 4. Starting with the Perceptron
  5. 5. Training Data
  6. 6. Calculating the Error
  7. 7. Linear Separation