Building a Neural Network from Zero

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Master Neural Networks by Building from Scratch: Forward/Backward Pass, SGD, and Fashion-MNIST Challenge

What you will learn


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Implement neural networks from scratch, including forward and backward propagation

Master gradient descent, SGD with momentum, and other optimization techniques

Build custom layers, activation functions, and loss functions without external libraries

Apply your custom neural network to solve the Fashion-MNIST classification challenge

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