IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
IEEE

Deployment of TensorFlow Lite for Real-Time Image Classification on Raspberry Pi: Performance Evaluation with CIFAR-10 and MNIST, and Implications for Power Generation

Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Hacker

Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

Too Long; Didn't Read This tutorial walks you through fine-tuning a ResNet-18 model from TensorFlow’s Model Garden for classifying images in the CIFAR-10 dataset. You’ll learn how to set up the ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
GitHub

[BUG] Error Uploading Tensorflow Model for Image Corruption

2025-05-30 04:27:43,040,040 DEBUG [test_model_router.py:143] upload_model_files, foldername: sample_fashion_mnist_tensorflow, subfolders: ./,./, model_type ...