crossentropy

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

Coursera - RNN Programming Assignment: In this project, we will implement a model that uses an LSTM to generate music. In the end, we'll even be able to listen to your own music!

Binary Classification of cat and dog class using CNN

PyTorch detailed analysis to create Machine learning to Deep learning model

What Happens if We Use a Mean Squared Error Loss for Binary Classification?

NLP Model for Spam/Ham Mail Classification

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

Point-supervised semantic segmentation on remote sensing imagery. Implements Partial Cross-Entropy loss to train a U-Net (pretrained ResNet-34) using only sparse point labels instead of full masks, tested on LoveDA.

I have used a reference dataset from TensorFlow. I have used different optimisers and epochs to check the prediction accuracy

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood