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softmax-regression

Here are 70 public repositories matching this topic...

abhijitbendale / OSDN

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

deep-learning softmax-regression extract-features openmax softmax open-set

Updated Apr 30, 2018
Python

gyrdym / ml_algo

Machine learning algorithms in Dart programming language

Updated Jan 2, 2024
Dart

myazi / myLearn

machine learning algorithm

hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm

Updated Nov 9, 2021
C++

hiroyuki-kasai / GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning lasso classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

Updated Jul 2, 2018
MATLAB

AFAgarap / wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

machine-learning tensorflow linear-regression scikit-learn machine-learning-algorithms supervised-learning classification logistic-regression support-vector-machine softmax-regression binary-classification nearest-neighbours-classifier multilayer-perceptron recurrent-neural-network

Updated Mar 24, 2023
Python

jerett / Keras-CIFAR10

practice on CIFAR10 with Keras

svm keras vgg resnet softmax-regression googlenet cifar10

Updated Aug 30, 2018
Jupyter Notebook

SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay

Updated Jan 31, 2019
Python

waybarrios / TensorFlow_CNN

Example CNN on CIFAR-10 classification

python deep-learning tensorflow gpu prediction cnn softmax-regression tensorflow-cnn

Updated Nov 12, 2015
Python

priyanka-kasture / Handwritten-Digit-Recognizer

Handwritten Digit Recognition using Softmax Regression in Python

python computer-vision mnist classification digit-recognition softmax-regression webcam-capture digit-recognition-mnist

Updated Sep 5, 2018
Python

JYNi16 / Deeplearning-Beginner

Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework

deep-learning tensorflow tensorflow-tutorials softmax-regression alexnet-model pytorch-tutorial resnet-34

Updated Sep 23, 2022
Python

trqminh / softmax-regression

get familiar with pytorch

softmax-regression pytorch-tutorial pytorch-implementation softmax-regressor

Updated Feb 1, 2021
Python

gkluber / MoS-Tensorflow

Mixture of Softmaxes implementation in Tensorflow

nlp machine-learning natural-language-processing softmax-regression

Updated Jan 20, 2018
Python

Naman-ntc / CIFAR-10-Recognition

Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy

convolutional-networks support-vector-machine nearest-neighbors softmax-regression cifar-10

Updated Jan 6, 2018
Python

arnejad / multiclass-classification

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

machine-learning machine-learning-algorithms naive-bayes-classifier softmax-regression from-scratch multiclass-classification multinomial-regression gaussian-classifier bayesian-logistic-regression weighted-logistic-regression

Updated Apr 8, 2020
MATLAB

williamd4112 / simple-linear-classification

A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)

machine-learning regression artificial-intelligence pca classification logistic-regression lda softmax-regression bishop newton-raphson irls probabilistic-generative-model probabilistic-discriminative

Updated Apr 11, 2017
Python

xup6fup / MxNetR-examples

This project provides a series of MxNetR example for letting readers to get started quickly.

r deep-learning neural-network mxnet rstudio linear-regression iterator recurrent-neural-networks artificial-intelligence artificial-neural-networks logistic-regression convolutional-neural-networks softmax-regression

Updated Nov 5, 2017
R

Rebabit / Knowledge-Engineering

Projects for Knowledge Engineering class (BIT北理工, NLP, 知识工程)

logistic-regression event-extraction ner softmax-regression relation-extraction tplinker-ner

Updated Mar 28, 2023
Jupyter Notebook

VuBacktracking / Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

python machine-learning neural-network tensorflow linear-regression supervised-learning xgboost logistic-regression gradient-descent decision-trees unsupervised-learning softmax-regression andrew-ng coursera-specialization andrew-ng-machine-learning

Updated Sep 24, 2023
Jupyter Notebook

maths-behind-ML

daodavid / maths-behind-ML

Maths behind machine learning and some implementations from scratch.

logistic-regression gradient-descent softmax-regression maximum-likelihood-estimation cross-entropy taylor-expansion cross-entropy-loss log-odds ratio-odds

Updated Jul 30, 2022
Jupyter Notebook

Armin-Abdollahi / Iris-Flower-Classification

python machine-learning random-forest svm image-processing xgboost logistic-regression support-vector-machines softmax-regression iris-classification pycaret

Updated Apr 26, 2024
Jupyter Notebook

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