Neural Network Demo

DATASET: This model was trained on a Dummy dataset, composed of randomly generated images.

INPUT: The batch size is 8, and the images have a dimension of 32x32.

OUTPUT: The output is a number from 0 to 31.

TRAINING: The Model is trained using an Adam Optimizer and a Cross Entropy Loss.

Training Parameters

Batch Size: Learning Rate: L2 Regularization: Beta 1 (Adam): Beta 2 (Adam): Epsilon (Adam):

Model Layers

Graph

Iteration:

Total Training Examples:

Loss: