Classification for Fashion MNIST from scratch

Developed a neural network with backpropagation using stochastic gradient descent and regularized cross-entropy cost.

Achieved 88.045% test accuracy by optimizing hyperparameters on a validation set using grid search and performed Principal Component Analysis (PCA) to visualize the 3D cross-entropy loss versus parameters.