An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

The Pytorch Implementation of L-Softmax

Classifying the Blur and Clear Images

several types of attention modules written in PyTorch for learning purposes

This is a pytorch implementation of the am_softmax, this softmax layer includes the class assignment fully connected layer, as it is required for it to be normalized.

Plots how the logit values that are passed into the softmax function change over time as the model is trained.

My own implementation/experiments with a local softmax

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

Gesture Recognition by CNN created using Networks Library created by me.

The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and fe…