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16%
Keras: Getting Started with AI
03.12.2024
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, MaxPooling 2D : model.add(layers.BatchNormalization()) model.add(layers.MaxPooling2D(pool_size=(2,2))) A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
16%
Web applications with Julia
26.01.2025
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, improving on the concept by fixing [12] several problems in Jupyter's design. Whereas Jupyter can serve as an interface to many different languages (the name is a mashup of Julia, Python, and R, its original
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Moving HPC to the cloud
31.10.2025
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© Zarko Cvijovic, 123RF.com
of options, including dual four-core Xeon, dual six-core Xeon, or quad 12-core AMD processors ranging in speed from 2.2 to 2.9GHz with 24 to 128GB of RAM per server and up to 1TB of scratch local storage per

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