02 / MACHINE LEARNING
Akira
A handwritten digit classifier built from first principles, using Python and NumPy instead of an external machine learning framework.
Inside the network
- Implemented a multilayer neural network for MNIST digit classification.
- Built custom layers and activation functions, with manual forward and backward propagation.
- Used NumPy, pandas, and Matplotlib to work with data, computation, and visualization.