This project aims to implement deep learning models from scratch using only NumPy. The goal is to develop a rigorous understanding of neural networks from first principles. All components, including forward propagation, backpropagation, and optimisation, are derived and implemented without the use of high-level frameworks such as Tensorflow and PyTorch.
prithvi-ramrucha/Deep-Learning-From-Scratch
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