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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 görüntüleme • 5 ay önce •via X (Twitter)

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Eugene Smarts profil fotoğrafı

Eugene Smarts5 ay önce

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

Stefano Galloni profil fotoğrafı

Stefano Galloni5 ay önce

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

euno profil fotoğrafı

euno5 ay önce

14 minutes ago

Oxy_moron profil fotoğrafı

Oxy_moron5 ay önce

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

🎤Yogesh🎸 profil fotoğrafı

🎤Yogesh🎸5 ay önce

Playlist

Havox profil fotoğrafı

Havox5 ay önce

Can I get this whole playlist anyone please ?

BearTheory profil fotoğrafı

BearTheory5 ay önce

Knowledge with perception

Adel Bucetta profil fotoğrafı

Adel Bucetta5 ay önce

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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