softmax-layer
There are 23 repositories under softmax-layer topic.
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
amirhfarzaneh/lsoftmax-pytorch
The Pytorch Implementation of L-Softmax
aditya9211/Blur-and-Clear-Classification
Classifying the Blur and Clear Images
knotgrass/attention
several types of attention modules written in PyTorch for learning purposes
devildances/TwitterSentimentAnalysis
Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
hiroyuki-kasai/SimpleDeepNetToolbox
Simple MATLAB toolbox for deep learning network: Version 1.0.3
dalisson/am_softmax
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.
elliotwaite/softmax-logit-paths
Plots how the logit values that are passed into the softmax function change over time as the model is trained.
kyegomez/LocalSoftmax
My own implementation/experiments with a local softmax
sharnam19/Networks
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Grafit24/DL-Framework-Numpy
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
KrishArul26/Sentiments-Classifier-using-BERT
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 feelings more openly than ever before. By automatically analysing customer feedback, from survey responses to social media conversations, brands are able to listen attentively to their customers, and tailor products and services to meet their needs.
Tejas-TA/Face-Mask-Detection-Real-Time-Computer-Vision
This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo
DanielEftekhari/numerically-efficient-softmax-algorithm
An algorithm to compute the softmax layer in neural networks using low floating-point precision arithmetic.
jungsoh/wordvecs-sentiment-classification
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
sharnam19/Gesture-Recognition-using-CNN
Gesture Recognition by CNN created using Networks Library created by me.
srimanikantaarjun/deep_learning_forward_computation
Files are part of my coursework from the course DSCI 6671 Deep Learning
TheKing003KS/Handwritten-Digit-Detector-v2.0
This project implements a handwritten digit detector using neural networks.
MANOJPATRA1991/Deep-Learning-Nanodegree
Projects Related to Deep Learning Nanodegree
niketan108/Keras-on-MNIST
Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.