Канал: Jacob Stern

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

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

Lecture 38 - ChatGPT - BYU CS 474 Deep Learning

Lecture 38 - ChatGPT - BYU CS 474 Deep Learning

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

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

Lecture 36 - Adversarial perturbations - BYU CS 474 Deep Learning

Lecture 36 - Adversarial perturbations - BYU CS 474 Deep Learning

Lecture 35 - Visualizing loss landscapes - BYU CS 474 Deep Learning

Lecture 35 - Visualizing loss landscapes - BYU CS 474 Deep Learning

Lecture 34 - ResNets - BYU CS 474 Deep Learning

Lecture 34 - ResNets - BYU CS 474 Deep Learning

Lecture 33 - Ethics - automation and AGI risks - BYU CS 474 Deep Learning

Lecture 33 - Ethics - automation and AGI risks - BYU CS 474 Deep Learning

Lecture 32 - Ethics - pre-AGI risks - BYU Deep Learning CS 474

Lecture 32 - Ethics - pre-AGI risks - BYU Deep Learning CS 474

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

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

Lecture 30 - Diffusion models continued, midterm review - BYU CS 474 Deep Learning

Lecture 30 - Diffusion models continued, midterm review - BYU CS 474 Deep Learning

Lecture 29 - Diffusion models - BYU CS 474 Deep Learning

Lecture 29 - Diffusion models - BYU CS 474 Deep Learning

Lecture 27 - Conditional GANs continued, evaluating GANs - BYU CS 474 Deep Learning

Lecture 27 - Conditional GANs continued, evaluating GANs - BYU CS 474 Deep Learning

Lecture 26 - Conditional GANs - BYU CS 474 Deep Learning

Lecture 26 - Conditional GANs - BYU CS 474 Deep Learning

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

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

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

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

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

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

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

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

Lecture 22 - Transformers - variants, generative models - BYU CS 474 Deep Learning

Lecture 22 - Transformers - variants, generative models - BYU CS 474 Deep Learning

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

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

Lecture 19 - Transformers - BYU CS 474 Deep Learning

Lecture 19 - Transformers - BYU CS 474 Deep Learning

Lecture 18 - Attention (continued), word embeddings - BYU CS 474 Deep Learning

Lecture 18 - Attention (continued), word embeddings - BYU CS 474 Deep Learning

Lecture 17 - Recurrent neural networks (continued), attention - BYU CS 474 Deep Learning

Lecture 17 - Recurrent neural networks (continued), attention - BYU CS 474 Deep Learning

Lecture 16 - Recurrent neural networks (continued) - BYU CS 474 Deep Learning

Lecture 16 - Recurrent neural networks (continued) - BYU CS 474 Deep Learning

Lecture 15 - Recurrent neural networks - BYU CS 474 Deep Learning

Lecture 15 - Recurrent neural networks - BYU CS 474 Deep Learning

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

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

Lecture 13 - Regularization - BYU CS 474 Deep Learning

Lecture 13 - Regularization - BYU CS 474 Deep Learning

Lecture 12 - Style Transfer - BYU CS 474 Deep Learning

Lecture 12 - Style Transfer - BYU CS 474 Deep Learning

Lecture 11 - Optimizers - BYU CS 474 Deep Learning

Lecture 11 - Optimizers - BYU CS 474 Deep Learning

Lecture 10 - Image Segmentation - BYU CS 474 Deep Learning

Lecture 10 - Image Segmentation - BYU CS 474 Deep Learning

Lecture 09 - Activation functions and initialization - BYU CS 474 Deep Learning

Lecture 09 - Activation functions and initialization - BYU CS 474 Deep Learning

Lecture 08 - Convolutions (continued) - BYU CS 474 Deep Learning

Lecture 08 - Convolutions (continued) - BYU CS 474 Deep Learning

Lecture 07 - Convolutions - BYU CS 474 Deep Learning

Lecture 07 - Convolutions - BYU CS 474 Deep Learning

Lecture 06 - Automatic differentiation and the chain rule of derivatives - BYU CS 474 Deep Learning

Lecture 06 - Automatic differentiation and the chain rule of derivatives - BYU CS 474 Deep Learning

Lecture 05 - Computation graphs - BYU CS 474 Deep Learning

Lecture 05 - Computation graphs - BYU CS 474 Deep Learning

Lecture 04 - Loss functions and gradient descent - BYU CS 474 Deep Learning

Lecture 04 - Loss functions and gradient descent - BYU CS 474 Deep Learning

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

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

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

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

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

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