softmax-classification
There are 22 repositories under softmax-classification topic.
esthicodes/Awesome-Swiss-German
Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
fdbtrs/ElasticFace
Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition
hctian713/MultiSpectral-RSImg-Classification
【武汉大学遥感学院】空间智能感知与服务课设 | 基于Softmax的多波段遥感影像分类
ColasGael/DeepClimb
A CNN approach to automatically assess bouldering routes difficulty levels
elliotwaite/softmax-logit-paths
Plots how the logit values that are passed into the softmax function change over time as the model is trained.
singh-jagjot/Multiclass-Classification-Using-Softmax-From-Scratch
Multiclass Classification using Softmax from scratch without any famous library like Tensorflow, Pytorch, etc.
Stephen-X/Machine-Learning-Algorithms
A repository for hosting some of the popular machine learning algorithm implementations.
pyaf/deep-learning-from-scratch
Implementing deep learning algorithms from scratch
saratbhargava/ECE239AS-Neural-Networks-and-Deep-Learning-UCLA
These Codes are written as part of Neural Networks and Deep learning course at UCLA.
Deepesh22/Real-Time-Digit-Recognizer
handwritten digit recognition in real time
mmaghajani/Hands-on-TensorFlow
About some methods in Deep Learning using TensorFlow
sumansid/Sign-Language-Recognition
A deep learning model that recognizes hand gestures for alphabets. Trained using tensorflow, with activation function : RELU and Softmax (for multi-class classification).
TacoL/MNIST-Supervised-Learning
It reads handwritten numbers given an input of pixel values. A supervised learning, gradient descent, mini-batching, softmax-output-activation neural network that is meant to be trained on the MNIST dataset (dataset not included in this repository).
acardoco/GeoLearning
Push features to OSM taked from satellite images.
HiokKuek/multiclass_classification
Simple Neural Network that uses multiclass classification to predict the price category of your phone given information about the hardware of the phone
mimotrix/TensorFlow-Up-Running
Some deep learning projects using TensorFlow
jElhamm/Multiclass-SVM-Softmax-Classifier
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
junaidfiaz143/Shallow-MNIST-with-TF-and-KERAS
This is the code for "predict MNIST datasets using pure Tensorflow and Keras, a shallow learning model" By M.Junaid Fiaz
pskrunner14/neural-networks
Neural Network from Scratch with Python