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96,607 results

Caio Benatti Moretti
From Perceptron to LSTM @ The 77 Lab - MIT

I was asked to talk about neural networks with the members of The 77 Lab at MIT, so I came up with this material.

1:31:21
From Perceptron to LSTM @ The 77 Lab - MIT

1,085 views

6 years ago

IBM Research
Can Deep Learning Models Be Trusted? - Luca Daniel

Luca Daniel, Professor at MIT, discusses recent work from the MIT-IBM lab on building trustworthy deep neural networks.

37:34
Can Deep Learning Models Be Trusted? - Luca Daniel

829 views

6 years ago

xvzf
The Only Deep Learning Book You Need

Description In this video I review my favorite deep learning book. I like that it covers advanced topics in deep learning and also ...

1:22
The Only Deep Learning Book You Need

30,148 views

3 years ago

World Economic Forum
Speeding up detection and treatment of cancer through machine learning | Regina Barzilay

We are still in a primitive stage of using data science and machine learning to detect and treat cancer. Regina Barzilay explains ...

5:30
Speeding up detection and treatment of cancer through machine learning | Regina Barzilay

4,927 views

7 years ago

Missing Semester
Lecture 1: Course Overview + The Shell (2020)

You can find the lecture notes and exercises for this lecture at https://missing.csail.mit.edu/2020/course-shell/ Help us caption ...

48:17
Lecture 1: Course Overview + The Shell (2020)

856,087 views

5 years ago

ICTP Condensed Matter and Statistical Physics
Deep Neural Networks and Molecular Dynamics

Speaker: R. Car (Princeton U.) MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and ...

30:21
Deep Neural Networks and Molecular Dynamics

2,758 views

7 years ago

Octavian Ganea
Hyperbolic embeddings in machine learning and deep learning

For more info please visit http://hyperbolicdeeplearning.com/ and https://people.csail.mit.edu/oct/

1:14:01
Hyperbolic embeddings in machine learning and deep learning

9,099 views

6 years ago

MIT 6.824: Distributed Systems
Lecture 1: Introduction

Lecture 1: Introduction MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/

1:19:35
Lecture 1: Introduction

744,795 views

5 years ago

MIT Venture Capital & Innovation
A.I. and Machine Learning in a Connected World

What do machine learning and A.I. mean for our future? Experts S. Somasegar of Madrona Venture Group, Karl Iagnemma of ...

39:13
A.I. and Machine Learning in a Connected World

2,315 views

8 years ago

Futawe
Lifestreaming to predict the future

MIT researchers fed 600 hours of TV shows through a deep learning neural network where it predicted human interactions.

4:30
Lifestreaming to predict the future

15 views

9 years ago

Kimia Lab
Machine Intelligence - Lecture 16 (Decision Trees)

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...

1:23:54
Machine Intelligence - Lecture 16 (Decision Trees)

15,119 views

6 years ago

TPM Workshop
Invited Talk by Vikash Mansinghka - An alternate scaling route for AI via probabilistic programs

This approach integrates key ideas from large-scale generative modeling and deep learning with probabilistic inference and ...

44:13
Invited Talk by Vikash Mansinghka - An alternate scaling route for AI via probabilistic programs

529 views

3 years ago

Graz AI
Explainable AI für Deep Learning mit Pytorch: Overview und Tutorial

Warum zur Hölle erkennt mein neuronales Netz die Maus auf dem Bild als Mülleimer? Manchmal ist es nicht offensichtlich, wie ...

49:01
Explainable AI für Deep Learning mit Pytorch: Overview und Tutorial

96 views

5 years ago

Algorithmic Simplicity
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

... Linear RNN paper: https://openreview.net/forum?id=M3Yd3QyRG4 #mamba #deeplearning #largelanguagemodels 00:00 Intro ...

31:51
MAMBA from Scratch: Neural Nets Better and Faster than Transformers

292,433 views

1 year ago

MIT Center for Transportation & Logistics
ML/AI Techniques to Handle Complex Challenges

An overview of the applications of Machine Learning (ML) and Artificial Intelligence (AI) in supply chain management. Highlights ...

57:05
ML/AI Techniques to Handle Complex Challenges

2,717 views

2 years ago

IBM Research
Perspectives on the Future of Computing for AI

2019 AI Research Week Colloquium Moderated by John Cohn, IBM Fellow Panel: Andrew McCallum Distinguished Professor of ...

50:40
Perspectives on the Future of Computing for AI

2,028 views

6 years ago

MIT Center for Transportation & Logistics
The Role of AI in e-Commerce and e-Fulfillment

As eCommerce continues to grow, fulfillment centers and warehouses are undergoing major transformations. In this webinar ...

53:03
The Role of AI in e-Commerce and e-Fulfillment

1,836 views

4 months ago

World Economic Forum
Developing smarter AI by learning from its application to fundamental physics | Marin Soljacic

Could artificial intelligence one day win a Nobel Prize for making new discoveries in science? MIT's Marin Soljacic explains how ...

5:08
Developing smarter AI by learning from its application to fundamental physics | Marin Soljacic

2,101 views

6 years ago

Nando de Freitas
Deep Learning Lecture 1: Introduction

Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of ...

52:16
Deep Learning Lecture 1: Introduction

350,007 views

10 years ago

CodeEmporium
What is Mutli-Head Attention in Transformer Neural Networks?

shorts #machinelearning #deeplearning.

0:33
What is Mutli-Head Attention in Transformer Neural Networks?

40,900 views

2 years ago