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#

softmax-classifier

Here are 51 public repositories matching this topic...

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

  • Updated Jul 25, 2025
  • PHP

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.

  • Updated Jul 30, 2022
  • Jupyter Notebook

Description: Dive into this exciting project that builds a CNN with TensorFlow/Keras to classify CIFAR-10 images into 10 vibrant classes! 📸 It features data preprocessing, model training, stunning ROC curve visualizations 📊, sample predictions, and custom image classification

  • Updated Aug 23, 2025
  • Jupyter Notebook
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.

  • Updated Apr 15, 2021
  • Jupyter Notebook

Neural network-based character recognition using MATLAB. The algorithm does not rely on external ML modules, and is rigorously defined from scratch. A report is included which explains the theory, algorithm performance comparisons, and hyperparameter optimization.

  • Updated Aug 19, 2021
  • MATLAB

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