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Embark on a comprehensive 12-hour live course exploring deep learning with PyTorch. Begin with fundamental concepts like tensors, gradient descent, and linear regression. Progress to working with images and logistic regression, then advance to training deep neural networks on GPUs. Delve into image classification using convolutional neural networks (CNNs), and explore advanced techniques such as ResNet, regularization, and data augmentation. Conclude by learning about Generative Adversarial Networks (GANs) for image generation, providing a well-rounded understanding of deep learning applications using PyTorch.
