Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder

Uploaded By: Myvideo

Published on

7 Jul 2022

11 views

0

0 votes

0

About Share Download Add to

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit:

Share with your friends

Link:

Embed:

<iframe width="640" height="360" src="//myvideo.cc/embed/UEVWNitUVXFidnlON2tpdng0WFFnU2pUNEdQd2wzS09ubXBLZndNUHJXbz0" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Video Size:

Custom size:

x

Autoplay video

Hide player controls

Hide resume playing

Add to Playlist:

Favorites

My Playlist

Watch Later

Leonardo.ai

12 months ago

00:02:34

Leonardo.ai

1 95%

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

2 years ago

01:15:20

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

3 30%

Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)

2 years ago

01:18:17

Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)

19 51%

Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)

2 years ago

01:19:34

Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)

13 50%

Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)

2 years ago

01:22:02

Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)

12 84%

Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

2 years ago

01:18:52

Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

6 66%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder

2 years ago

01:52:36

Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder

11 83%

Лекция 8. Оценивание плотности и байесовская классификация

3 years ago

01:10:40

Лекция 8. Оценивание плотности и байесовская классификация

18 67%

Лекция 5. Нейронные сети

3 years ago

01:56:54

Лекция 5. Нейронные сети

12 40%

Лекция 11. Обучение без учителя. Кластеризация. EM-алгоритм

3 years ago

01:21:08

Лекция 11. Обучение без учителя. Кластеризация. EM-алгоритм

19 23%

Лекция 4. Метод опорных векторов

3 years ago

01:31:17

Лекция 4. Метод опорных векторов

16 89%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 23 - Course Recap and Wrap Up

3 years ago

01:48:51

Stanford CS229: Machine Learning | Summer 2019 | Lecture 23 - Course Recap and Wrap Up

1 74%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap

3 years ago

01:55:20

Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap

1 16%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 21 - Evaluation Metrics

3 years ago

01:46:57

Stanford CS229: Machine Learning | Summer 2019 | Lecture 21 - Evaluation Metrics

9 58%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 13-Statistical Learning Uniform Convergence

3 years ago

01:55:15

Stanford CS229: Machine Learning | Summer 2019 | Lecture 13-Statistical Learning Uniform Convergence

5 11%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 15 - Reinforcement Learning - II

3 years ago

01:52:06

Stanford CS229: Machine Learning | Summer 2019 | Lecture 15 - Reinforcement Learning - II

3 23%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 17 - Factor Analysis & ELBO

3 years ago

01:52:10

Stanford CS229: Machine Learning | Summer 2019 | Lecture 17 - Factor Analysis & ELBO

1 83%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 12 - Bias and Variance & Regularization

3 years ago

01:48:37

Stanford CS229: Machine Learning | Summer 2019 | Lecture 12 - Bias and Variance & Regularization

2 20%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I

3 years ago

01:56:51

Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I

2 71%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 11 - Deep Learning - II

3 years ago

01:51:45

Stanford CS229: Machine Learning | Summer 2019 | Lecture 11 - Deep Learning - II

1 30%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing

3 years ago

01:53:44

Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing

1 92%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability Theory

3 years ago

01:52:54

Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability Theory

2 90%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra

3 years ago

01:51:13

Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra

5 53%

Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics

3 years ago

01:52:39

Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics

2 54%

0 Comments

Guest