43:54Adversarial Examples for Deep Neural Networks
A 44-minute video from Paul Hand: “Adversarial Examples for Deep Neural Networks”.
Paul Hand
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43:54
37:37Architectural Elements Of Neural Networks
A 38-minute video from Paul Hand: “Architectural Elements Of Neural Networks”.
42:07Continual Learning and Catastrophic Forgetting
A 42-minute video from Paul Hand: “Continual Learning and Catastrophic Forgetting”.
52:47Generative Adversarial Networks
A 53-minute video from Paul Hand: “Generative Adversarial Networks”.
56:40Gradient Descent and Stochastic Gradient Descent
A 57-minute video from Paul Hand: “Gradient Descent and Stochastic Gradient Descent”.
47:51Invertible Neural Networks and Inverse Problems
A 48-minute video from Paul Hand: “Invertible Neural Networks and Inverse Problems”.
47:01Neural Network Architectures for Images
A 47-minute video from Paul Hand: “Neural Network Architectures for Images”.
47:18Supervised Machine Learning Review
A 47-minute video from Paul Hand: “Supervised Machine Learning Review”.
57:02Theory of GANs for Compressed Sensing
A 57-minute video from Paul Hand: “Theory of GANs for Compressed Sensing”.
50:26Unlearned Neural Networks as Image Priors for Inverse Problems
A 50-minute video from Paul Hand: “Unlearned Neural Networks as Image Priors for Inverse Problems”.
43:25Variational Autoencoders
A 43-minute video from Paul Hand: “Variational Autoencoders”.