Deep Learning
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Visualizing Model Insights: A Guide to Grad-CAM in Deep Learning
Introduction Gradient-weighted Class Activation Mapping is a technique used in deep learning to visualize and understand the decisions made by…
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What is Adam Optimizer and How to Tune its Parameters in PyTorch
Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning…
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Adaptive Learning through Diffusion: A Cutting-Edge Paradigm
Introduction In the dynamic landscape of education and machine learning, the integration of Adaptive Learning through Diffusion represents a paradigm…
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Deep Learning Used to Discover Antibiotics to Combat Drug-Resistant Bacteria
In a significant breakthrough, researchers at MIT have harnessed the power of artificial intelligence (AI) to identify a novel class…
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