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Learn Lua programming in less than an hour with Alfredo Canziani. The syllabus covers basics like strings, arrays, tables, and functions.
Explore latent variable models, structured prediction, and various loss functions with Alfredo Canziani. Learn from Yann LeCun in this 1-2 hour study.
Dive into joint embedding methods and latent variable energy-based models with Alfredo Canziani's 1-2 hour program, featuring speaker Yann LeCun. Explore predictive models, inference, and more.
Learn truck backing techniques with Alfredo Canziani in a 1-2 hour program, covering vehicle configuration, manual parking tests, and emulator training strategy.
Learn ConvNets in practice with Alfredo Canziani in under an hour. Topics include object detection, face detection, semantic segmentation, and network comparison.
Explore recurrent and convolutional nets, parameter sharing, and gradient techniques in this 1-2 hour online material by Alfredo Canziani, featuring Yann LeCun.
Learn about non-linear functions, cost functions, and various architectures from Yann LeCun in this 1-2 hour material by Alfredo Canziani.
Learn supervised learning, parametrised models, gradient descent, and backpropagation with Alfredo Canziani's 1-2 hour material, featuring Yann LeCun.
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.
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