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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 ...
Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
Build, train, and evaluate a Convolutional Neural Network (CNN) for classifying the MNIST handwritten digits dataset using either TensorFlow or PyTorch. The primary goal is to create a model that ...
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