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Learn planning and control strategies with Alfredo Canziani in a 1-2 hour session, covering state transition equations, numerical examples, and PyTorch implementation of optimal control examples.
Explore machine translation techniques with Alfredo Canziani's 1-2 hour program. Learn about beam search, alignment, evaluation, and tackle case studies like Nepali-English translation.
Learn Graph Convolutional Networks (GCNs) in under an hour with Alfredo Canziani. Dive into tensors, CNNs, residual gated GCNs, and PyTorch implementation using DGL.
Explore self-supervised learning in computer vision with Alfredo Canziani. Dive into topics like PIRL, SwAV, AVID+CMA, and Barlow Twins in just 1-2 hours.
Learn modern speech recognition, connectionist temporal classification, and graph transformer networks from Alfredo Canziani. Material takes 1-2 hours.
Learn about self/cross, hard/soft attention, and the Transformer from Alfredo Canziani. Explore key-value store, queries, and PyTorch implementation in 1-2 hours.
Learn to train autoencoders and generative adversarial networks with PyTorch in this 1-2 hour program by Alfredo Canziani.
Explore the transition from LV-EBM to various autoencoders with Alfredo Canziani in this 1-2 hour online material. Dive into topics like target propagation, reconstruction costs, and variational autoencoders.
Explore unsupervised learning and generative models with Alfredo Canziani in under an hour. Dive into topics like style transfer, super resolution, and autoencoding.
Learn about Latent Variable Energy Based Models with Alfredo Canziani. Dive into free energy, PyTorch nomenclature, loss functionals, and model training in just 1-2 hours.
Dive into Latent Variable Energy Based Models with Alfredo Canziani. Learn about inference, energy functions, and free energy in a 1-2 hour study session.
Explore recurrent neural networks and LSTM with Alfredo Canziani in a 1-2 hour study, covering sequence processing, back propagation, and PyTorch applications.
Learn about convolutional neural nets, natural signal properties, and tensor reshaping in a 1-2 hour session by Alfredo Canziani.
Learn neural nets, affine transformations, and non-linearities with Alfredo Canziani in a 1-2 hour online session, using Jupyter and PyTorch.
Learn neural nets classification and PyTorch implementation in a 1-2 hour session with Alfredo Canziani, covering topics from training data to regression uncertainty estimation.
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