Paul Hand Courses

Variational Autoencoders

Explore variational autoencoders, generative models, and stochastic optimization in this concise lecture by Paul Hand from Northeastern University.

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

Gradient Descent and Stochastic Gradient Descent

Explore gradient descent in deep neural networks with Paul Hand's lecture from Northeastern University. Learn about learning rates and convergence for convex functions in under an hour.

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

Continual Learning and Catastrophic Forgetting

Explore continual learning and catastrophic forgetting in deep neural networks with Paul Hand from Northeastern University. Learn about regularization, dynamic architectures, and Complementary Learning Systems in under 1 hour.

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

Adversarial Examples for Deep Neural Networks

Explore adversarial examples for deep neural networks in this short lecture by Paul Hand from Northeastern University. Learn about white and black box attacks, real-world attacks, and adversarial training.

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

Neural Network Architectures for Images

Explore neural network architectures for image processing in this concise lecture by Paul Hand from Northeastern University. Learn about classification, segmentation, denoising, and more in under an hour.

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

Supervised Machine Learning Review

Dive into supervised machine learning with Paul Hand's lecture from Northeastern University. Understand deep neural networks, loss functions, and the bias-variance tradeoff in under an hour.

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

Unlearned Neural Networks as Image Priors for Inverse Problems

Dive into Deep Image Prior, Deep Decoder, and Deep Geometric Prior for inverse imaging problems in this less than 1-hour online lecture by Paul Hand from Northeastern University.

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

Theory of GANs for Compressed Sensing

Dive into the theory of GAN priors in Compressed Sensing with this less than 1-hour online lecture by Paul Hand from Northeastern University.

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