XDA Developers on MSN

It's easy to train your own image classification model with an ESP32, and I did it in five minutes

You can train your own image models for deployment on an ESP32-S3, and it's really easy.
GitHub

Fruit and Vegetable Image Classification

A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...
IEEE

Comparative Analysis of TensorFlow and PyTorch for Image Classification Using CNN with Parallelism Strategies

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...
GitHub

sarah-antillia/TensorFlow-FlexUNet-Image-Segmentation-KiTS19-Kidney-Tumor

This is the first experiment of Image Segmentation for Kidney-Tumor based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass) and a 512x512 pixels ...
Hosted on MSN

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of Thrones: ...