Deep Learning Framework

A custom deep learning framework built from scratch in Python. This framework includes implementations of common neural network layers, activation functions, and optimization algorithms.

Features

• Fully connected layers
• Convolutional layers
• ReLU, Sigmoid, and Tanh activation functions
• Stochastic Gradient Descent (SGD) and Adam optimizers
• Backpropagation algorithm