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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

239,717 subscribers

11,055 просмотров • 5 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 8

Фото профиля Eugene Smarts

Eugene Smarts5 месяцев назад

understanding the fundamentals is crucial, but implementation can be tricky. diving into real-world applications will reveal the trade-offs in complexity versus performance.

Фото профиля Stefano Galloni

Stefano Galloni5 месяцев назад

AI is what happens when math doesn't give up.😛

Фото профиля euno

euno5 месяцев назад

14 minutes ago

Фото профиля Oxy_moron

Oxy_moron5 месяцев назад

This is nice and I love the simplification of all of them. It makes it easier to understand

Фото профиля 🎤Yogesh🎸

🎤Yogesh🎸5 месяцев назад

Playlist

Фото профиля Havox

Havox5 месяцев назад

Can I get this whole playlist anyone please ?

Фото профиля BearTheory

BearTheory5 месяцев назад

Knowledge with perception

Фото профиля Adel Bucetta

Adel Bucetta5 месяцев назад

the real unlock is combining these simpler components in a way that lets them learn from each other, creating complex behaviors without needing massive datasets

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