Abstract: Analyzing student actions is an important and challenging task in educational research. Existing efforts have been hampered by the lack of accessible datasets to capture the nuanced action ...
A new study introduces a universal two-stage method that successfully segments plant stems and leaves across both ...
Deep Learning with Yacine on MSN
Digit Recognition With Deep Learning — PyTorch Beginner Project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...
Abstract: This article introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine-learning (ML) applications within the logic synthesis process. Previous ...
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All of the documentation I have sifted through has referenced essentially re-saving data when the format changes, but is there a way to use this library without that? A good use-case for this example ...
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