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561 results

CampusX
Batch Normalization in Deep Learning | Batch Learning in Keras

This video explores how Batch Normalization transforms the internal workings of neural networks by normalizing inputs within ...

43:39
Batch Normalization in Deep Learning | Batch Learning in Keras

108,904 views

3 years ago

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

Dropout, Batch normalization Batch normalization was initially inspired by the notion of internal covariate shift (ICS). However, it's ...

1:07:27
Ali Ghodsi, Deep Learning, Dropout, Batch Normalization, Fall 2023, Lecture 5

3,165 views

2 years ago

CampusX
Layer Normalization in Transformers | Layer Norm Vs Batch Norm

Layer Normalization is a technique used to stabilize and accelerate the training of transformers by normalizing the inputs across ...

46:57
Layer Normalization in Transformers | Layer Norm Vs Batch Norm

60,812 views

1 year ago

Jeremy Howard
Lesson 17: Deep Learning Foundations to Stable Diffusion

We explore normalization techniques, such as Layer Normalization and Batch Normalization, and briefly mention other ...

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

11,875 views

2 years ago

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

Layer normalization, Filter response normalization (FRN), Thresholded linear unit (TLU), Normalizer-free networks, Gradient ...

52:03
Ali Ghodsi, Deep Learning, Regularization (Layer norm, FRN,TRU), Keras, Fall 2023, Lecture 7

1,983 views

2 years ago

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

Course website: http://bit.ly/pDL-home Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 14: ...

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

5,298 views

5 years ago

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

... increase data size - *Batch normalization*: adjust the parameterization of a model in order to make the loss surface smoother.

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

72,326 views

6 years ago

Deep Learning Zero To All
[PyTorch] Lab-09-4 Batch Normalization

모두를위한딥러닝시즌2 #deeplearningzerotoall #PyTorch Instructor: 강현우 - Github: ...

22:05
[PyTorch] Lab-09-4 Batch Normalization

8,381 views

6 years ago

Wuttipong วุฒิพงษ์ Kumwilaisak คําวิลัยศักดิ์
Deep Learning Module 2 Part 11: Batch Normalization
48:26
Deep Learning Module 2 Part 11: Batch Normalization

142 views

5 years ago

NERSC
Week 8 - Distributed Large Batch Training - Swetha Mandava

Swetha Mandava from NVIDIA talks about Distributed Large Batch Training at the Deep Learning for Science School 2020.

59:14
Week 8 - Distributed Large Batch Training - Swetha Mandava

650 views

5 years ago

Jeremy Howard
Lesson 7: Deep Learning 2

... a return to computer vision, where we implement the powerful resnet architecture and batch normalization layer from scratch.

2:17:31
Lesson 7: Deep Learning 2

42,861 views

8 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

19,324 views

5 years ago

ML For Nerds
YOLO-V4: MiWRC, CmBN, DROP BLOCK, CIOU, DIOU || YOLO OBJECT DETECTION SERIES

... we discussed Multi-Input Weighted Residual Connections, Cross mini Batch Normalization, Drop Block Regularisation, types of ...

43:37
YOLO-V4: MiWRC, CmBN, DROP BLOCK, CIOU, DIOU || YOLO OBJECT DETECTION SERIES

4,767 views

2 years ago

Andreas Mueller
Applied Machine Learning 2019 - Lecture 21 - Keras and Convolutional Neural Networks

Keras sequential API Dropout Convolutions Convolutional Neural Networks Batch normalization More materials on the course ...

1:16:57
Applied Machine Learning 2019 - Lecture 21 - Keras and Convolutional Neural Networks

1,470 views

6 years ago

Data Science Learning Community Videos
Practical Deep Learning for Coders: Initialization/normalization (pdl01 17)

Aaron G leads a discussion of Chapter 17 ("Initialization/normalization") from Practical Deep Learning for Coders by Jeremy ...

52:16
Practical Deep Learning for Coders: Initialization/normalization (pdl01 17)

65 views

1 year ago

Aymen_IT
3 - 6 Lesson 6  Deep Learning 2019   Regularization; Convolutions; Data ethics

... increase data size - *Batch normalization*: adjust the parameterization of a model in order to make the loss surface smoother.

30:22
3 - 6 Lesson 6 Deep Learning 2019 Regularization; Convolutions; Data ethics

13 views

5 years ago

CampusX
Dropout Layer in Deep Learning | Dropouts in ANN | End to End Deep Learning

Dropout is an approach to regularization in neural networks which helps reduce interdependent learning amongst the neurons.

27:51
Dropout Layer in Deep Learning | Dropouts in ANN | End to End Deep Learning

79,416 views

3 years ago

Alfredo Canziani (冷在)
13L – Optimisation for Deep Learning

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Yann LeCun Chapters 00:00:00 ...

1:51:33
13L – Optimisation for Deep Learning

7,695 views

4 years ago

Aymen_IT
4 -6 Lesson 6  Deep Learning 2019   Regularization; Convolutions; Data ethics

... increase data size - *Batch normalization*: adjust the parameterization of a model in order to make the loss surface smoother.

30:20
4 -6 Lesson 6 Deep Learning 2019 Regularization; Convolutions; Data ethics

23 views

5 years ago

Digital Science Center Courses
Introduction to  Deep Learning and Optimization

... we will do that like drop out and batch normalization the various different optimization methods we won't actually discuss that in ...

33:57
Introduction to Deep Learning and Optimization

54 views

4 years ago