The Maths behind Neural Networks

Alex Punnen
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Contents

• Chapter 1: The simplest Neural Network - Perceptron using Vectors and Dot Products
• Chapter 2: Perceptron Training via Feature Vectors & HyperPlane split
• Chapter 3: Gradient Descent and Optimization
• Chapter 4: Backpropagation with Scalar Calculus
• Chapter 5: Backpropagation with Matrix Calculus
• Chapter 6: Backpropagation with Softmax and Cross Entropy
• Chapter 7: Neural Network Implementation