43:45

Ali Ghodsi, Deep Learning, PAC Learnability in Deep Learning, Fall 2023, Lecture 20

49:06

Ali Ghodsi, Deep Learning, Graph Neural Newark (Part 2), Fall 2023, Lecture 19

01:08:28

Ali Ghodsi, Deep Learning, Graph Neural Newark (Part 1), Fall 2023, Lecture 18

01:09:23

Ali Ghodsi, Deep Learning, Diffusion Models, DDPMs, Fall 2023, Lecture 17

01:20:03

Ali Ghodsi, Deep Learning, GAN, Generative adversarial networks, AAE, Fall 2023, Lecture 16

01:12:48

Ali Ghodsi, Deep Learning, Variational Autoencoder, VAE, Performer, Fall 2023, Lecture 15

01:14:27

Ali Ghodsi, Deep Learning, RLHF, GhatGPT, Alignment in LLMs, Fall 2023, Lecture 14

01:10:35

Ali Ghodsi, Deep Learning, Deep Reinforcement Learning-Part 2, Deep RL, Fall 2023, Lecture 13

01:39:56

Ali Ghodsi, Deep Learning, Deep Reinforcement Learning-Part 1, Deep RL, Fall 2023, Lecture 12

01:10:11

Ali Ghodsi, Deep Learning, Transformers, Fall 2023, Lecture 10

54:40

Ali Ghodsi, Deep Learning, BERT and GPT, Fall 2023, Lecture 11

01:17:52

Ali Ghodsi, Deep Learning, Attention mechanism, self-attention, S2S, Fall 2023, Lecture 9

01:07:27

Ali Ghodsi, Deep Learning, Dropout, Batch Normalization, Fall 2023, Lecture 5

01:14:35

Ali Ghodsi, Deep Learning, Recurrent neural network (RNN), RNN, Fall 2023, Lecture 8

01:17:48

Ali Ghodsi, Deep Learning, Convolutional Neural Networks, CNN, Fall 2023, Lecture 6

52:03

Ali Ghodsi, Deep Learning, Regularization (Layer norm, FRN,TRU), Keras, Fall 2023, Lecture 7

01:17:40

Ali Ghodsi, Deep Learning, Regularization, Fall 2023, Lecture 4,

01:15:41

Ali Ghodsi, Deep Learning, , Optimization, Fall 2023, Lecture 3

01:16:13

Ali Ghodsi, Deep Learning, feedforward neural network, Backpropagation, Fall 2023, Lecture 2

01:18:05

Ali Ghodsi, Deep Learning, Motivation and course administrations, Fall 2023, Lecture 1

01:13:17

Ali Ghodsi, Lect 13 (Fall 2020): Deep learning, Transformer, BERT, GPT

01:15:39

Ali Ghodsi, Lect 10 (Fall 2020): Deep learning, Attention mechanism

26:00

PyTorch tutorial

01:20:09

Pascal Poupart, Sum Product Networks, Oct 19 2017

01:21:22

Pascal Poupart, Sum Product Networks, Oct 17 2017

15:57

Ali Ghodsi, Deep Learning, Oct 12 28 2017, [Lect 6.1]

01:12:25

Ali Ghodsi, Deep Learning, CNN, Oct 3, 2017 [Lect 6]

01:17:48

Ali Ghodsi, Deep Learning, Oct 5, 2017, [Lect 7]

01:17:21

Ali Ghodsi, Deep Learning, Sept 28 2017, [Lect 5]

55:27

Ali Ghodsi, Deep Learning, Regularization, Sep 26, 2017 [Lect 4]

01:05:46

17Sept14 STAT 946

01:17:09

17Sept19

01:21:10

17Sept12 946

08:59

Ali Ghodsi, Lec 16: Variational Autoencoders

57:21

Ali Ghodsi, Lec 15: t-SNE

01:18:02

Ali Ghodsi, Lec 14: Autoencoders, Clustering, Mixture of Gaussians

18:07

AliGhodsi Lec 18, Bagging

01:15:19

Ali Ghodsi Lec17, Boosting method

01:07:29

Ali Ghodsi Lec16, Tree, Boosting method

01:10:01

Ali Ghodsi, Lec 13: Word2Vec Skip-Gram

47:12

Ali Ghodsi, Lec 12: Neural Networks, Autoencoders, Word2Vec

01:17:25

AliGhodsi Lec14, Convolutional Neural Networks

01:13:54

AliGhodsi Lec15, Random features, Tree

01:13:44

AliGhodsi Lec13 2017, SPCA, Naive Bayes, K-nearest neighbour

01:16:27

Ali Ghodsi, Lec 10: NMF via R1D algorithm

01:14:48

Ali Ghodsi, Lec 9: SPCA, Nystrom Approximation, NMF

01:20:15

Ali Ghodsi, Lec11: Sum-Product Networks

01:13:48

Ali Ghodsi, Lec 8: Supervised PCA

01:16:06

AliGhodsi Lec 12, Metric Learning

01:05:54

AliGhodsi Lec 11, Soft Margin SVM

01:15:21

Ali Ghodsi Lec 9, Regularization, Hard Margin SVM

01:05:46

Ali Ghodsi Lec 10, SVM, Kernel SVM

01:10:41

Ali Ghodsi, Lec 7: MVU, Action Respecting Embedding, Supervised PCA

01:17:28

Ali Ghodsi, Lec 6: Spectral Clustering, Laplacian Eigenmap, MVU

01:15:02

Ali Ghodsi Lec 8, Complexity control for RBN

01:11:05

Ali Ghodsi Lec 7 Back Propagation, RBN

01:20:39

Ali Ghodsi Lec5 Model selection, Neural Networks

01:12:19

Ali Ghodsi Lec4 Logistic regression

01:14:57

Ali Ghodsi Lec 3 FDA

01:17:36

Ali Ghodsi, Lec 5: LLE, Spectral Clustering