AI & Data
Learn the practical skills of training deep learning models with PyTorch. Prepare data, choose batch sizes, optimisers and learning rate schedules, use CNNs and RNNs, train faster on GPUs, reuse pretrained models, and debug training when it goes wrong. Finish by training and deploying an image classifier.
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Building an Image Classifier with PyTorch
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What is Deep Learning?
See how deep networks learn their own features from raw data, and when a simp...
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