Abstract: The required amount of computation and training data for training 3D-CNN, especially for complex classification tasks with videos, hinders the wide application of 3D-CNN. In this paper, ...

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In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...

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 environment, configure the ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach ...

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. DNA optical mapping is a powerful technique commonly used for structural variant ...

Abstract: This paper proposes a method to effectively extract Motor Imagery Electroencephalography (MI-EEG) features and optimize a convolutional neural network (CNN) model for classification accuracy ...

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