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53 results

CampusX
Weight Initialization Techniques | What not to do? | Deep Learning

In this video, I'll guide you through weight initialization techniques in neural networks and highlight what NOT to do. From common ...

49:24
Weight Initialization Techniques | What not to do? | Deep Learning

75,688 views

3 years ago

wikipedia tts
Weighing scale | Wikipedia audio article

This is an audio version of the Wikipedia Article: Weighing scale 00:01:07 1 Balance scales 00:01:16 1.1 History 00:04:18 1.2 ...

24:22
Weighing scale | Wikipedia audio article

36 views

7 years ago

caltech
Lecture 12 - Regularization

Regularization - Putting the brakes on fitting the noise. Hard and soft constraints. Augmented error and weight decay. Lecture 12 ...

1:15:14
Lecture 12 - Regularization

139,341 views

13 years ago

Daniel Barada
disappear and come back unrecognizable in 2026 (9+ hours)

Join the FREE community: https://omniscient.mn.co/plans/1873326 Work with me: https://calendly.com/d/cs9y-6kn-2n2 --- THE ...

9:05:31
disappear and come back unrecognizable in 2026 (9+ hours)

44,928 views

7 days ago

Tübingen Machine Learning
Neural Compression — Lecture 1 — Problem Setting & Symbol Codes

First full lecture of the course "Data Compression With Deep Probabilistic Models" by Prof. Robert Bamler at University of ...

1:02:50
Neural Compression — Lecture 1 — Problem Setting & Symbol Codes

3,370 views

4 years ago

Vamsi: Quick View
Neural Networks in Machine Learning
28:07
Neural Networks in Machine Learning

0 views

1 year ago

Andrew Heiss
PMAP 8521 • Example: Matching and IPW with R: 5: Inverse probability weighting

Demonstration of how to use inverse probability weighting with R to close DAG backdoors and estimate causal effects from ...

20:37
PMAP 8521 • Example: Matching and IPW with R: 5: Inverse probability weighting

12,038 views

5 years ago

Ai Guru
See the ONE Math Concept That Powers ALL of AI (It's Easier Than You Think) - Lecture 4

AIML Lecture Series : https://www.youtube.com/playlist?list=PLMIHypEMTeA9GK8RgT-OlJ-BK29vDMf8n AI Math and ...

27:43
See the ONE Math Concept That Powers ALL of AI (It's Easier Than You Think) - Lecture 4

462 views

1 month ago

Aviation Republic
"DRAKEN!" How to Say Hello In Swedish  | The Glorious SAAB J35 DRAKEN - Part 2

saabj35draken #Fastestjet #AviationHistory #MilitaryHistory #ColdWar This is Part two of the SAAB 35 Draken story. PART ONE ...

1:21:50
"DRAKEN!" How to Say Hello In Swedish | The Glorious SAAB J35 DRAKEN - Part 2

33,540 views

7 days ago

Oxford ML and Physics Seminars
Michael Kagan: Generative Model Based Design Optimization and Unfolding

A host of scientific disciplines encapsulate acquired knowledge into high fidelity simulators that subsequently allow the generation ...

1:08:36
Michael Kagan: Generative Model Based Design Optimization and Unfolding

379 views

4 years ago

The Linux Cast
Zorin OS 16 Beta First Look - Gnome Made Pretty

Matt takes his first ever look at Zorin OS. Patreon - https://patreon.com/thelinuxcast Paypal ...

25:23
Zorin OS 16 Beta First Look - Gnome Made Pretty

956 views

4 years ago

Mark Young
ICECO APL55 True Dual Zoned 12V Fridge and Freezer

ICECO 58QT APL55 Dual Zone 12 Volt Fridge Freezer. IMPORTANT "For Canadian orders, we typically ship from Ontario.

35:45
ICECO APL55 True Dual Zoned 12V Fridge and Freezer

1,024 views

8 months ago

CampusX
Xavier/Glorat And He Weight Initialization in Deep Learning

In this video, I will talk about weight initialization techniques in a Neural network. The following pointers would be discussed: 1.

21:07
Xavier/Glorat And He Weight Initialization in Deep Learning

53,827 views

3 years ago

Jeff Orchard
Backpropagation

The error backpropagation algorithm is gradient descent on neural networks. Here is a detailed derivation and description of the ...

31:33
Backpropagation

2,208 views

3 years ago

Pietro Barbiero
Concept Embedding Models: Beyond the Accuracy-Explainability Trade Off

Problem — Human trust in deep neural networks is currently an open problem as their decision process is opaque. Current ...

34:08
Concept Embedding Models: Beyond the Accuracy-Explainability Trade Off

714 views

3 years ago

CampusX
Deploy ML Projects for Free | Render Deployment Tutorial | ML Deployment | CampusX

Code - https://github.com/campusx-official/render-demo ============================ Did you like my teaching style?

25:27
Deploy ML Projects for Free | Render Deployment Tutorial | ML Deployment | CampusX

115,327 views

1 year ago

ICTP Quantitative Life Sciences
Minimum Complexity Interpolation in Random Features Models

Theodor MISIAKIEWICZ (Stanford University, USA) Youth in High-Dimensions | (smr 3602) 2021_06_15-18_00-smr3602.

21:58
Minimum Complexity Interpolation in Random Features Models

159 views

4 years ago

Numenta
A Review of Learning Rules in Machine Learning - March 8, 2021

In this research meeting, our research intern Alex Cuozzo reviews some notable papers and explains high level concepts related ...

59:53
A Review of Learning Rules in Machine Learning - March 8, 2021

1,593 views

4 years ago

AppSec California
AppSecCali 2020 Closing Keynote: Browser Manipulation for Bypassing Firewalls - Samy Kamkar

Browsers are an excellent and ubiquitous tool for accessing and sharing information. With their wide feature set, it's sometimes ...

39:23
AppSecCali 2020 Closing Keynote: Browser Manipulation for Bypassing Firewalls - Samy Kamkar

9,973 views

5 years ago

Institut des Hautes Etudes Scientifiques (IHES)
Emilie Chouzenoux - Deep Unfolding of a Proximal Interior Point Method for Image Restoration

Variational methods have started to be widely applied to ill-posed inverse problems since they have the ability to embed prior ...

45:29
Emilie Chouzenoux - Deep Unfolding of a Proximal Interior Point Method for Image Restoration

1,013 views

4 years ago