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138 results

CodeEmporium
Batch Normalization - EXPLAINED!

What is Batch Normalization? Why is it important in Neural networks? We get into math details too. Code in references. Follow me ...

8:49
Batch Normalization - EXPLAINED!

129,156 views

5 years ago

CodeEmporium
Batch Normalization in neural networks - EXPLAINED!

Let's talk batch normalization in neural networks ABOUT ME ⭕ Subscribe: ...

17:00
Batch Normalization in neural networks - EXPLAINED!

8,698 views

1 year ago

Vuk Rosić
Master RMSNorm From Scratch - Step by Step Tutorial

Notebook - https://gist.github.com/vukrosic/c8f370a1d041f58bd28fdea9339467f8 Notebook on drive ...

11:01
Master RMSNorm From Scratch - Step by Step Tutorial

495 views

2 months ago

Brandon Rohrer
Batch normalization

A narrated version of the End-to-End Machine Learning tutorial post on batch normalization.

15:33
Batch normalization

11,329 views

5 years ago

Vu Hung Nguyen (Hưng)
16 Normalizing Flows

Normalizing Flows Explained: Probabilistic Generative Models & Invertible Networks Overview: This episode dives into ...

8:39
16 Normalizing Flows

3 views

3 months ago

Nicolas Papernot
SaTML 2023 - Reza Nasirigerdeh - Kernel Normalized Convolutional Networks for Privacy-Preserving ML

In our work we raise two major research questions first two existing normalization layers such as layer nor group norm and kernel ...

16:59
SaTML 2023 - Reza Nasirigerdeh - Kernel Normalized Convolutional Networks for Privacy-Preserving ML

114 views

2 years ago

Friday Talks Tübingen
The Curse of Depth in Large Language Models - [Shiwei Liu]

We identify the issue as stemming from the prevalent use of Pre-Layer Normalization (Pre-LN) and introduce LayerNorm Scaling ...

11:05
The Curse of Depth in Large Language Models - [Shiwei Liu]

138 views

3 months ago

ACM SIGWEB
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training

Systems and Infrastructure: Scalable ML for Web Infrastructure Yunyong Ko, Dongwon Lee and Sang-Wook Kim: Not All Layers ...

17:25
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training

68 views

3 years ago

auacse
Elina, Anri, Hovhannes - Disease Classification on Encrypted Retina Scan Images - IDDS 2023

The study has also developed an approximation function for layer normalization, bringing it closer to performing fully encrypted ...

16:43
Elina, Anri, Hovhannes - Disease Classification on Encrypted Retina Scan Images - IDDS 2023

24 views

1 year ago

Boring Codes
Batch Normalization and Dropout || Part - 3

Dropout is mostly a technique for regularization. It introduces noise into a neural network to force the neural network to learn to ...

6:14
Batch Normalization and Dropout || Part - 3

34 views

5 years ago

Derek Harter
L09.3.5: A Mini Xception-like Model Example

This video is really a conclusion to the previous one where Iintroduced a few modern best practices and concepts for creating ...

12:00
L09.3.5: A Mini Xception-like Model Example

26 views

7 months ago

TalkTensors: AI Podcast Covering ML Papers
Transformers WITHOUT Normalization?! (DyT Explained)

This episode of TalkTensors dives into a groundbreaking paper that challenges the long-held belief that normalization layers are ...

18:54
Transformers WITHOUT Normalization?! (DyT Explained)

18 views

8 months ago

Audio Production Quick Take
Normalization with FFmpeg

Today's topic is Audio Normalization with FFmpeg. If you've worked with audio at all, whether recording or editing, it's very likely ...

5:08
Normalization with FFmpeg

721 views

5 years ago

CodeEmporium
ResNet - Explained!

In this video, we take a look the ResNet network. What is it? Why is it better than some of the shallower networks that came before ...

16:13
ResNet - Explained!

1,738 views

2 months ago

Andreas Maier
Deep Learning: Regularization - Part 5 (WS 20/21)

“Layer normalization”. In: arXiv preprint arXiv:1607.06450 (2016). [16] Nima Tajbakhsh, Jae Y Shin, Suryakanth R Gurudu, et al.

6:49
Deep Learning: Regularization - Part 5 (WS 20/21)

698 views

5 years ago

Kerzomon
Analysis of the M2K System: Performance Review, Key Findings, and Improvement Roadmap

This presentation provides a comprehensive analysis of the M2K neural network framework. It begins with an overview of its core ...

6:35
Analysis of the M2K System: Performance Review, Key Findings, and Improvement Roadmap

0 views

6 days ago

Apache MXNet
The History and the Future of Run-time Compilation in MXNet

Dr. Przemyslaw Tredak, Sr. DL Frameworks Engineer @ NVIDIA As the computational capabilities of Deep Learning hardware ...

10:51
The History and the Future of Run-time Compilation in MXNet

90 views

4 years ago

The Coding Gopher
99% of Developers Don't Get PostgreSQL

Check out Supabase: https://supabase.plug.dev/qnxeTMY ❤️ Get 40% OFF CodeCrafters: ...

12:40
99% of Developers Don't Get PostgreSQL

167,605 views

3 months ago

Mark Newman
How to use the FFT like a pro, 3 essential signal prep tips

Unsure how to use the FFT to get meaningful results from your data? Join me as I unveil 3 crucial signal preparation tips to ensure ...

7:16
How to use the FFT like a pro, 3 essential signal prep tips

12,963 views

1 year ago

Otavio Santana
Becoming the Ultimate Engineer: Persistence Unveiled - Q&A Session Part 2

Welcome to the second part of our exclusive Q&A session, celebrating the launch of our new book on persistence. In this video ...

6:23
Becoming the Ultimate Engineer: Persistence Unveiled - Q&A Session Part 2

117 views

2 years ago