
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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