Implement a conditional Deep Convolutional Generative Adversarial Network (DCGAN) sampling high-quality Street View House Numbers (SVHN).
Apr 19, 2024 - EESTec AI Marathon (3rd place)
Training a Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) model on raw time-series clinical data for early sepsis detection.
Mar 30, 2024
Dropout helps to prevent overfitting and encourages the network to be more robust by preventing reliance on specific neurons.
Nov 26, 2023
Principal Component Analysis (PCA) is a method to get low dimensional representation of a high-dimensional dataset without losing the important features.
Jul 7, 2023
SVHN Image and Label Synthesis with Conditional DCGAN