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krish50507kumar / mini-neural-network-framework-from-scratch

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A Python project implementing a neural network framework from scratch using NumPy. Includes fully connected (Dense) layers, ReLU and Sigmoid activations, a simple SGD optimizer, and a minimal training loop. Designed for hands-on learning of neural network fundamentals without relying on any deep learning frameworks

python machine-learning neural-network numpy sgd mini-framework deep-learning-from-scratch activation-function
  • Updated Mar 30, 2026
  • Python

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