Convolutional Neural Network

Convolutional neural networks are computationally more intensive (in terms of minutes per epoch) than multi-layer perceptrons, which makes the presence of a GPU or TPU even more important.

This project uses the EMNIST letters dataset which is built into Tensorflow. A validation set is also used as lots of hyperparameters are tuned, and also because it is a good practice. The test set is used only for the final evaluation of the trained and tuned network.

A CNN for EMNIST Letters

This project builds upon MLP for EMNIST Letters where alternative architectures are explored, and more hyperparameters and optimizers are tuned. The training process is visualized by plotting a loss curve using TensorBoard.