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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 Aufrufe • vor 5 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

8 Kommentare

Profilbild von Eugene Smarts

Eugene Smartsvor 5 Monaten

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

Profilbild von Stefano Galloni

Stefano Gallonivor 5 Monaten

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

Profilbild von euno

eunovor 5 Monaten

14 minutes ago

Profilbild von Oxy_moron

Oxy_moronvor 5 Monaten

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

Profilbild von 🎤Yogesh🎸

🎤Yogesh🎸vor 5 Monaten

Playlist

Profilbild von Havox

Havoxvor 5 Monaten

Can I get this whole playlist anyone please ?

Profilbild von BearTheory

BearTheoryvor 5 Monaten

Knowledge with perception

Profilbild von Adel Bucetta

Adel Bucettavor 5 Monaten

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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