irvingvasquez/cv2course_intro_nn

Vanilla neural network implemented in all major languages

A deep learning library built from scratch with complex neural networks examples built on top for learning purposes.

Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building neural networks from scratch.

Neural Networks: Zero to Hero

PyTorch sandbox for testing convolutional networks, ResNets, and other architectures on MNIST digits.

Code to accompany the textbook "Modeling Neural Circuits Made Simple"

Feedforward neural network learning in real time

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Applied neural networks covering classification, function approximation, backpropagation, optimization, and dynamic system modeling with Python and TensorFlow.