Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand.

The Recurrent Neural Network (RNN) used an LSTM architecture, where the sequence was fed directly into an LSTM (input size = 9, hidden_size = 64), and the final hidden state was passed into a Linear ...

In the rapidly developing field of deep learning, the efficacy of neural network architectures and their components greatly impacts performance in practical applications. This research evaluates the ...

This study tackles the problem of fine-art image classification that suffers from both the softness of styles and the absence of labelled datasets. The state-of-the-art with CNNs leverages transfer ...