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Recorded six-part live course on deep learning with PyTorch. Covers tensors, gradient descent and linear regression; working with image data and logistic regression; training deep neural networks on GPUs; image classification with convolutional neural networks; ResNet architectures, regularization and data augmentation; and generative adversarial networks for image generation. Suited to programmers new to deep learning who want hands-on model building.
