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The document outlines the structure and training of Convolutional Neural Networks (CNNs), focusing on various architectures, activation functions, and techniques such as data preprocessing and transfer learning. It highlights notable CNN models that have won the ImageNet Large Scale Visual Recognition Challenge, including AlexNet, VGGNet, and ResNet, detailing their layer configurations and performance metrics. Additionally, it discusses the advantages of using smaller filters and deeper networks in CNN des

Author

fabia jahan

Language

EN