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This course is a conceptual and architectural journey through deep learning vision models, tracing the evolution from LeNet and AlexNet to ResNet, EfficientNet, and Vision Transformers. The course explains the design philosophies behind skip connections, bottlenecks, identity preservation, depth/width trade-offs, and attention. Each chapter ...
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