Alfredo Canziani Courses

From LV-EBM to Target Prop to Autoencoder

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.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models with Alfredo Canziani in under an hour. Dive into topics like style transfer, super resolution, and autoencoding.

• YouTube
• 57 minutes
• On-Demand
• Free Online Course

Latent Variable Energy Based Models

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.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Online Course

Latent Variable Energy Based Models - Inference

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.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Recurrent Neural Networks, Vanilla and Gated - LSTM

Explore recurrent neural networks and LSTM with Alfredo Canziani in a 1-2 hour study, covering sequence processing, back propagation, and PyTorch applications.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Natural Signals Properties and the Convolution

Learn about convolutional neural nets, natural signal properties, and tensor reshaping in a 1-2 hour session by Alfredo Canziani.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Online Course

Neural Nets - Rotation and Squashing

Learn neural nets, affine transformations, and non-linearities with Alfredo Canziani in a 1-2 hour online session, using Jupyter and PyTorch.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Tools, Classification with Neural Nets, PyTorch Implementation

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.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Supervised and Self-Supervised Transfer Learning With PyTorch Lightning

Learn supervised and self-supervised transfer learning with PyTorch Lightning in a 1-2 hour program by Alfredo Canziani, featuring practical implementation and training.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Online Course

Matrix Multiplication, Signals, and Convolutions

Learn matrix multiplication, signals, and convolutions in less than an hour with Alfredo Canziani, featuring practical exercises with IPython and PyTorch.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Structured Prediction with Energy Based Models

Explore structured prediction, energy-based factor graphs, and efficient inference with Alfredo Canziani. Learn about Graph Transformer Networks, loss functions, and variational inference.

• YouTube
• 2 hours 8 minutes
• On-Demand
• Free Online Course

Graph Convolutional Networks - GCNs

Explore the architecture and convolution of traditional ConvNets, extend to the graph domain, and delve into Graph Convolutional Networks (GCNs) with Alfredo Canziani. 2-3 hour workload.

• YouTube
• 2 hours
• On-Demand
• Free Online Course

Deep Learning for Natural Language Processing

Explore deep learning in NLP with Alfredo Canziani. Learn about CNNs, RNNs, transformers, beam search, text generation, back-translation, and pre-training in just 1-2 hours.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Online Course

Attention and the Transformer

Explore attention mechanisms and transformer architecture with Alfredo Canziani. Learn about self-attention, key-value store paradigm, and PyTorch implementation in 1-2 hours.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Online Course

PyTorch Activation and Loss Functions

Explore PyTorch activation and loss functions in a 1-2 hour material by Alfredo Canziani. Learn about kink vs smooth activations, common loss functions, and designing loss functions for EBMs.

• YouTube
• 1 hour 54 minutes
• On-Demand
• Free Online Course