



## Features
- **Tensor Operations**: Automatic differentiation for addition, multiplication, subtraction, division, and summation.
- **Neural Network Layers**: Linear, LeakyReLU, ReLU, Sigmoid, Tanh, Softmax, Dropout, BatchNorm1D, Sequential.
- **Loss Functions**: MSE, BCE, Cross Entropy.
- **Optimizer**: Adam with learning rate scheduling.
- **Pipeline**: Training pipeline with early stopping and metrics (accuracy, R², F1, MAE).
- **Synthetic Datasets**: Mixed, classification, quadratic, and nonlinear data generation.

