正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Neural networks explained

Whole Mars Catalog

1,197,157 subscribers

55,038 次观看 • 7 个月前 •via X (Twitter)

教育新闻政治科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Neural Networks Learning Visualization

Neural Networks Learning Visualization

ₕₐₘₚₜₒₙ

47,408 次观看 • 2 年前

Convolutional Neural Networks in action

Convolutional Neural Networks in action

ₕₐₘₚₜₒₙ

918,611 次观看 • 2 年前

Evolving Neural Networks That is all :)

Evolving Neural Networks That is all :)

echo.hive

23,112 次观看 • 9 个月前

Neural Networks from the First Principles

Neural Networks from the First Principles

Ajeet ( opensox.ai )

11,083 次观看 • 1 个月前

A phone, a house, and some neural networks

A phone, a house, and some neural networks

Luma

138,314 次观看 • 3 年前

All Neural Networks. All Autonomous. All 1X speed

All Neural Networks. All Autonomous. All 1X speed

1X

732,069 次观看 • 2 年前

Neural networks explained from first principles: how simple linear pieces combine into richer models, and why layered representations make machine learning more powerful. MIT OpenCourseWare, 6.036 Introduction to Machine Learning, Fall 2020.

Neural networks explained from first principles: how simple linear pieces combine into richer models, and why layered representations make machine learning more powerful. MIT OpenCourseWare, 6.036 Introduction to Machine Learning, Fall 2020.

tetsuo

10,720 次观看 • 2 个月前

Warren McCulloch, the father of neural networks, talks AI in 1962.

Warren McCulloch, the father of neural networks, talks AI in 1962.

Massimo

164,466 次观看 • 2 个月前

Warren McCulloch, the father of neural networks, talks AI in 1962.

Warren McCulloch, the father of neural networks, talks AI in 1962.

Massimo

251,884 次观看 • 1 年前

The limits of rationalism: from Socrates to neural networks Dan Shipper 📧

The limits of rationalism: from Socrates to neural networks Dan Shipper 📧

Big Think

13,470 次观看 • 6 个月前

End-to-end neural networks racing drones, completely autonomous. Do you think what I think?

End-to-end neural networks racing drones, completely autonomous. Do you think what I think?

Linus ✦ Ekenstam

137,807 次观看 • 6 个月前

Many scientific problems hinge on finding interpretable formulas that fit data, but neural networks are the outright opposite! Check out our recent work that make neural networks modular and interpretable. If you have interesting datasets at hand, we're happy to collaborate!

Many scientific problems hinge on finding interpretable formulas that fit data, but neural networks are the outright opposite! Check out our recent work that make neural networks modular and interpretable. If you have interesting datasets at hand, we're happy to collaborate!

Ziming Liu

62,120 次观看 • 3 年前

At one point, MIT thought neural networks weren’t worth teaching in intro #AI. Trends change. Fundamentals don’t.

At one point, MIT thought neural networks weren’t worth teaching in intro #AI. Trends change. Fundamentals don’t.

Kosta Derpanis

235,534 次观看 • 8 个月前

Could a machine love its offspring? Warren McCulloch, the father of neural networks, talks AI in 1962.

Could a machine love its offspring? Warren McCulloch, the father of neural networks, talks AI in 1962.

Massimo

65,252 次观看 • 1 年前

Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.

Our multi-modal neural networks are already in customer vehicles—these networks take in arbitrary modalities such as camera videos, maps, navigation, IMU (Inertial Measurement Unit), GPS etc.

Tesla AI

240,750 次观看 • 3 年前

New work on Geometric Clifford Algebra Networks (GCANs). We propose geometric templates for modeling dynamical systems. A 🧵on geometric / Clifford algebras, and symmetry group transformations in neural networks. 📜

New work on Geometric Clifford Algebra Networks (GCANs). We propose geometric templates for modeling dynamical systems. A 🧵on geometric / Clifford algebras, and symmetry group transformations in neural networks. 📜

David Ruhe

137,973 次观看 • 3 年前

Neural networks and the art of human-like thinking | Full interview with Dan Shipper Dan Shipper 📧, CEO of Every 📧 0:00 Neural networks and human intuition 1:13 The limits of rationalism, from Socrates to neural networks 1:23 Rationalism 2:42 Socrates, the father of Rationalism 5:47 The Age of Enlightenment 7:36 The structure of social sciences 8:51 Defining AI 9:47 The origins of AI 10:39 The General Problem Solver 15:09 Neural networks 18:22 Metaphors for the mind 23:00 Seeing the world like a large language model 30:25 Should we stop looking for general theories? 32:22 Training neural networks 39:32 Will AI steal our humanity? 43:43 AI and rational explanation 47:17 Could LLMs be dangerous? 51:12 Knowledge economies and allocation economies

Neural networks and the art of human-like thinking | Full interview with Dan Shipper Dan Shipper 📧, CEO of Every 📧 0:00 Neural networks and human intuition 1:13 The limits of rationalism, from Socrates to neural networks 1:23 Rationalism 2:42 Socrates, the father of Rationalism 5:47 The Age of Enlightenment 7:36 The structure of social sciences 8:51 Defining AI 9:47 The origins of AI 10:39 The General Problem Solver 15:09 Neural networks 18:22 Metaphors for the mind 23:00 Seeing the world like a large language model 30:25 Should we stop looking for general theories? 32:22 Training neural networks 39:32 Will AI steal our humanity? 43:43 AI and rational explanation 47:17 Could LLMs be dangerous? 51:12 Knowledge economies and allocation economies

Big Think

11,741 次观看 • 9 个月前

Warren McCulloch, who pioneered neural networks, compared them to river deltas where all tributary waters completely intermix before output.

Warren McCulloch, who pioneered neural networks, compared them to river deltas where all tributary waters completely intermix before output.

tetsuo

22,667 次观看 • 3 个月前