Deep Learning with Yacine 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 ...
Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...
To address the class imbalance (in the number of images/masks) between the Hemorrhagic and Ischemic classes of the original CT image dataset, we applied our offline augmentation tools, ...
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 ...
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 ...
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 ...
Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI The 2 House Republicans who voted no on Trump's sweeping ...
Laboratory of Micro-Optoelectronics and Nanostructures (LR99/E929), Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia Alzheimer’s disease (AD) is a progressive ...
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