A handwritten digit classifier using neural networks from scratch (MNIST)
The network achieves 93.32% accuracy on testing data
- Network(
784, 128, 64, 10) - reLU activation in hidden layers and sigmoid in output layers
- backpropagation for learning
Checkout model.ipynb for more detail.