MNIST DIGIT PREDICTOR
The model is a Convolutional Neural Network (CNN) built in TensorFlowJS. The model consists of 6 layers: 2 convolutional layers, 2 downsampling layers (via max pooling), a flattening layer, and a dense layer for digit prediction. The total model consists of 5994 trainable parameters.