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112 results

Jeremy Howard
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...

2:17:43
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

72,326 views

6 years ago

caltech
Lecture 12 - Regularization

Lecture 12 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in ...

1:15:14
Lecture 12 - Regularization

139,455 views

13 years ago

Alfredo Canziani (冷在)
Week 14 – Practicum: Overfitting and regularization, and Bayesian neural nets

... 14 – Practicum PRACTICUM: http://bit.ly/pDL-en-14-3 When training highly parametrised models such as deep neural networks ...

1:11:28
Week 14 – Practicum: Overfitting and regularization, and Bayesian neural nets

5,299 views

5 years ago

iMooX at
The Concept of Regularisation | iMooX.at

This is a video of the course "Artificial Intelligence and Machine Learning" on https://imoox.at/course/AIundML-1NG02024 In this ...

3:19
The Concept of Regularisation | iMooX.at

22 views

1 year ago

Jeremy Howard
Lesson 17: Deep Learning Foundations to Stable Diffusion

All lesson resources are available at http://course.fast.ai.) In this lesson, we discuss the importance of weight initialization in neural ...

1:56:33
Lesson 17: Deep Learning Foundations to Stable Diffusion

11,878 views

2 years ago

Jeremy Howard
Lesson 7: Practical Deep Learning for Coders 2022

00:00 - Tweaking first and last layers 02:47 - What are the benefits of using larger models 05:58 - Understanding GPU memory ...

1:46:43
Lesson 7: Practical Deep Learning for Coders 2022

52,901 views

3 years ago

iMooX at
Generalisation Error | iMooX.at

This is a video of the course "Artificial Intelligence and Machine Learning" on https://imoox.at/course/AIundML-1NG02024 In this ...

3:00
Generalisation Error | iMooX.at

70 views

1 year ago

Alexander Jung
Empirical Risk Minimization Explained | The Engine Behind Modern AI

Further Reading: Dive deeper into ERM in Chapter 4 of my open-access textbook: Alexander Jung, Machine Learning: The Basics ...

12:27
Empirical Risk Minimization Explained | The Engine Behind Modern AI

42,297 views

5 years ago

Jeremy Howard
Lesson 5: Deep Learning 2018

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, ...

2:18:39
Lesson 5: Deep Learning 2018

63,420 views

8 years ago

Machine Learning Practice
Regularization

Regularization is one technique for combating overfitting. The cost function that we use to measure the performance of a model ...

14:24
Regularization

113 views

3 years ago

Alfredo Canziani (冷在)
Week 5 – Lecture: Optimisation

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Aaron DeFazio Week 5: ...

1:29:06
Week 5 – Lecture: Optimisation

19,327 views

5 years ago

Inria Learning Lab
Intuitions on regularized linear models

This video is part of the Mooc “Machine learning in Python with scikit-learn ” hosted on FUN platform: ...

20:06
Intuitions on regularized linear models

1,196 views

3 years ago

NFDI4Earth
Advanced Neural Networks: Optimizers, Dropout, and Classification

This video explores advanced topics in artificial neural networks (ANNs), including different optimizers beyond Stochastic ...

4:05
Advanced Neural Networks: Optimizers, Dropout, and Classification

25 views

11 months ago

Jeremy Howard
Lesson 4: Deep Learning 2018

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, ...

2:14:32
Lesson 4: Deep Learning 2018

95,343 views

8 years ago

Jeremy Howard
Lesson 8 - Deep Learning for Coders (2020)

NB: We recommend watching these videos through https://course.fast.ai rather than directly on YouTube, to get access to the ...

1:56:58
Lesson 8 - Deep Learning for Coders (2020)

47,452 views

5 years ago

Jeremy Howard
Lesson 7: Deep Learning 2

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, ...

2:17:31
Lesson 7: Deep Learning 2

42,861 views

8 years ago

caltech
Lecture 11 - Overfitting

Lecture 11 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in ...

1:19:49
Lecture 11 - Overfitting

123,179 views

13 years ago

iMooX at
Further Variants of Regression Algorithms | iMooX.at

This is a video of the course "Artificial Intelligence and Machine Learning" on https://imoox.at/course/AIundML-1NG02024 In this ...

3:54
Further Variants of Regression Algorithms | iMooX.at

6 views

1 year ago

Jeremy Howard
Lesson 2: Deep Learning 2019 - Data cleaning and production; SGD from scratch

Note: please view this using the video player at http://course.fast.ai, instead of viewing on YouTube directly, to ensure you have ...

1:58:48
Lesson 2: Deep Learning 2019 - Data cleaning and production; SGD from scratch

187,761 views

6 years ago

Florian Dubost
One Minute, One Paper | GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

Find the full paper here: https://arxiv.org/pdf/1705.07999.pdf Dubost, F., Bortsova, G., Adams, H., Ikram, A., Niessen, W.J., Vernooij, ...

1:08
One Minute, One Paper | GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

283 views

4 years ago