Stanford CS230: Deep Learning | Autumn 2018 | Lecture 2 - Deep Learning Intuition

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Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University

Andrew Ng
Adjunct Professor, Computer Science

Kian Katanforoosh
Lecturer, Computer Science

To follow along with the course schedule and syllabus, visit:

Stanford Online

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For future learners =>
39:00 The use alpha parameter can also be termed as for "mathematical stability", common for optimization algorithms which have a changing term in the denominator.

Refer to RMSProp and Adagrad if you haven't read abt these.

newbie

Vanilla hashing is not a good image metric, yet something like space- locality- preserving hashes on image embeddings could work

RiccardoVincelli

1:13:01 wouldn't this overfit the model to the background noise / training data? There's only so much background noise you can have before the machine starts to learn it

dtace

I have a question which is about verification of student faces, in that problem we also have to check the data set for the corresponding image to compare it with input, then why Sir is telling that in face verification we campare it with one image and in face recognition we campare the input with the whole dataset?

osmansafi

C'est normal que j'ai du mal a comprendre a cause de son accent français ? Genre, je suis français, donc ça devrait être plus simple nan ?

LennyChanrion

how can i find access to programming projects source code from IRAN?

mosihn-zjgg

I don't understand how Stanford students can answer incorrectly to such simple questions.

aoliveira_

bad filming. show the instructor most of time and not what he was pointing at. In fact, no need to show the instructor most of the time. Already knows what he looks

darshuetube

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