GitHub topics: softmax-classifier

Repositories

gyrdym/ml_algo

Machine learning algorithms in Dart programming language

Language: Dart - Size: 9.49 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 192 - Forks: 31

dpb44/Exploring-the-Intuition-of-Neural-Networks-on-a-Classification-Problem-Using-Only-NumPy

Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.

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zhangjc714/TE

本科毕业设计 - 基于数据解析的化工生产过程诊断

Language: Python - Size: 43.2 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 1

RubixML/HAR

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

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spsingh37/Image-classification

This project explores image classification on the PROPS Classification Dataset. It includes K-Nearest Neighbors, Support Vector Machine, and Softmax classifiers, and two-layer and multi-layer neural networks. The goal is to build a machine learning pipeline, experiment with optimizers, and evaluate model performance.

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kirschte/dphelmet

Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers

Language: Python - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

lowhung/regression-regularization

Algorithms for logistic regression, including regularization, soft-max loss and classifier

Language: Python - Size: 861 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

elliotwaite/softmax-logit-paths

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

Language: Python - Size: 2.93 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

neeraj1397/Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.

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srinadhu/Image_Classification_Pipeline

Image Classification pipeline for CIFAR-10 dataset based on K-NN, Svm, Softmax and 2-layer Neural Net Classifiers

Language: Jupyter Notebook - Size: 990 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

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."

Language: Python - Size: 362 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MaliciousMonk45456/Customer-Segmentation

Applying a softmax based neural network to predict customer category

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gksoriginals/softmax-classifier-implementation

This is a naive implementaion of softmax classifier with cross entropy loss functioon

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 2

DenryDu/cs231n_Assignment1

斯坦福大学cs231n课程的第一项作业之我的解答。Solution for Assignment1 (Images classification, kNN, SVM, SoftMax, FullyConnected Neural Network)

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amirhfarzaneh/lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

Language: Python - Size: 138 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 185 - Forks: 37

Sitaras/Twitter-Covid-Vaccination-Data-Sentiment-Analysis

🦠| Sentiment analysis on tweets about covid-19 vaccinations using Soft-max Regression, FNN, RNN and BERT-Base-uncased.

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srinadhu/CS231n

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 40 - Forks: 23

ayesha92ahmad/SVM-Softmax-Classifier-CIFAR10-dataset

Read and process CIFAR10 dataset, implement SVM and Softmax classifiers, train , and also tune up hyper parameters.

Language: Python - Size: 632 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

FelixHo/Simple-ML-Algorithm

Simple implementation of general machine learning algorithms

Language: Python - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

imraviagrawal/compsci682-DeepLearning

Implementation of Deep Learning algorithm from scratch

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dlwsdqdws/MLP_Data_Classification

A data classification using MLP

Language: Python - Size: 2.68 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sashakttripathi/MNIST-Softmax-Classification

Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images

Language: Python - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AdityaTheDev/Covid-19-Prediction-Using-CNN

Convolution Neural Network to predict Covid-19. This is a CNN model which predicts whether you have Healthy or you have Coronavirus or you have Pneumonia. I implemented CNN from Scratch and I implemented VGG-16 architecture. This model takes your CT scan report as input and will tell you the result. This Convolutional layer Connects to DeepNeuralNetwork. I found this image dataset(CT scan of patients) online and trained the model for 70 epochs using Softmax function in the output layer. If I had got a much more large image dataset(CT scan of patients) then I could have increased the accuracy a bit more. This model has the potential to become a breakthrough invention in the field of medical industry.

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gayanku/NBC-Softmax

Code for the Paper : NBC-Softmax : Darkweb Author fingerprinting and migration tracking (https://arxiv.org/abs/2212.08184)

Language: Python - Size: 234 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Yskandar/Softmax_classifier_and_KNN_from_scratch

In this project, I implement a softmax classifier and a K-nearest-neighbor algorithm from scratch and train them. I do not use any DL library, only classic math libraries are required (numpy, math, mathplotlib...).

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aawadall/Deep-Learning

My attempt to implement a generic deep learning platform using Python

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RanjeetKumbhar01/MNIST-Handwritten-Digits-Classification-using-Deep-Learning

MNIST Handwritten Digits Classification using Deep Learning with accuracy of 0.9944

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JuanDa14Sa/Iris-Softmax-no-sklearn

Classifier Iris dataset with softmax from scratch

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HillidatulIlmi/EDA-and-Deep-Learning-CNN-Fruit-Classification-Predictions

Classifying fruit types using a deep learning method, namely Convolutional Neural Network (CNN/ConvNet), which is a type of artificial neural network that is generally used in image recognition and processing. And carry out the process of improvement mode with transfer learning.

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