A comprehensive 5-hour course teaching how to build the VGG convolutional neural network architecture from scratch using PyTorch. Covers the theoretical foundations, mathematical concepts behind convolutions, design principles, and practical implementation in Google Colab. Includes hands-on experience with data handling, model training, visualization techniques, and comparison with other CNN architectures. Features complete training loops, fine-tuning strategies, and transfer learning applications.
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