This project aimed to write perceptron and neural network classes from scratch, and then use them on classic toy problems such as linear/non-linear function approximation and digit recognition using the MNIST dataset.
This project aimed to write perceptron and neural network classes from scratch, and then use them on classic toy problems such as linear/non-linear function approximation and digit recognition using the MNIST dataset.
The app can be found here: https://immodal.github.io/neural-network/
Figure 1: Handwritten digit recognition
Figure 2: Linear Function Approximator