Lecture 01 - Intro to deep learning - BYU CS 474 Deep Learning

Lecture 39 - Deep learning and chemistry - BYU CS 474 Deep LearningПодробнее

Lecture 38 - ChatGPT - BYU CS 474 Deep LearningПодробнее

Lecture 37 - Large-scale deep reinforcement learning - BYU CS 474 Deep LearningПодробнее

Lecture 31 - Midterm review continued - BYU CS 474 Deep LearningПодробнее

Lecture 29 - Diffusion models - BYU CS 474 Deep LearningПодробнее

Lecture 25 - Reinforcement learning - PPO algorithm, intro to GANs - BYU CS 474 Deep LearningПодробнее

Lecture 24 - Reinforcement learning - deep Q-learning, policy gradient - BYU CS 474 Deep LearningПодробнее

Lecture 23 - Reinforcement learning - Q learning - BYU CS 474 Deep LearningПодробнее

Lecture 20 - Transformers - keys, queries, values - BYU CS 474 Deep LearningПодробнее

Lecture 21 - Transformers - three types of attention - BYU CS 474 Deep LearningПодробнее

Lecture 19 - Transformers - BYU CS 474 Deep LearningПодробнее

Lecture 14 - Regularization (continued), final project - BYU CS 474 Deep LearningПодробнее

Lecture 12 - Style Transfer - BYU CS 474 Deep LearningПодробнее

Lecture 07 - Convolutions - BYU CS 474 Deep LearningПодробнее

Lecture 02 - Linear algebra review - BYU CS 474 Deep LearningПодробнее

Lecture 03 - Linear classifiers and loss functions - BYU CS 474 Deep LearningПодробнее