MIT 6.S191 (2018): Introduction to Deep Learning

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MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
January 2018

  1. Alexander Amini
  2. deep learning
  3. mit
  4. artificial intelligence
  5. neural networks
  6. machine learning
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Комментарии
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Free education....u sir deserve an award! You have no idea how terrific your actions are. Much appreciated.

JohnDoe-cqic
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15:20 non linearity
26:02 Training Neutral Networks
33:30 Adaptive Learning Rates

coregramming
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The best introductory lecture to ML on YouTube and I've seen ALOT here

alireza
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Wow, posting this for free is one of the biggest tributes to science one can do, imo. You are a hero.

haraldmac
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Wow MIT offers such quality education. It's pretty clear that these courses try to shape the students into future innovators that can change our society. Unfortunately most college courses are purely memorize this material and compete on the curve against your peers. Almost nothing learned is useful or applicable to life post-graduation.

doublehd
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Lecture starts at 8:12
Brilliant course, phenomenal content. I really enjoyed the overall flow as well. Great work MIT!

muellerafzmarcelluskvk
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I learned so much about deep learning in this video. I wrote down every slide you put up. I love that you put the actual code for the algorithms. Thank you!!!

MrChefMedz
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Wow! that moment when I was opening the description being absolutely sure that I won't find links to the other lectures. That made my day, thank you!

CSurfr
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Excellent presentation, excellent speaker. Thank you MIT and Mr. Amini.
The best introductory lecture to ML on YouTube and I've seen ALOT here

timothyn.thomas
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Lecture starts at 8:12
Lecture starts at 8:12
The best introductory lecture to ML on YouTube and I've seen ALOT here

heberlingbillyg.
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Your lecture can help me understanding the fundamental of deep learning. Thanks a lot. from Japan.

shirokawakita
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Incredibly well presented, with simplified comprehensive content and all the needed direction for deeper (ehem) research. Your calm demeanor makes the lecture such a pleasure to listen to. Thank you!

akarma
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Very good :) I'm Computer Engineering student in Italy and love this :) Great job ;)
Lecture starts at 8:12

liuliuliu
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We all need professors like you who build on ideas to explain complex concepts. My AI professor took too basic classes and gave too complex projects. I learned less in an entire semester than I did from this video. Thank you MIT for allowing us access to these content.

scikick
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Brilliant course, phenomenal content. I really enjoyed the overall flow as well. Great work MIT!
Lecture starts at 8:12
The best introductory lecture to ML on YouTube and I've seen ALOT here

jenbelieu
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I've always struggled with bridging the theory (formulas) with practice (code).
Thanks for putting the TF code on the side.
Bookmarked.

oliver-leung
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I love how you describe complex stuff with such simple words, Thank you a lot. Greetings

luukiInter
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Your lecture can help me understanding the fundamental of deep learning. Thanks a lot. from Japan.
Lecture starts at 8:12

vandervorttnldariaxvt
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Brilliant course, phenomenal content. I really enjoyed the overall flow as well. Great work MIT!

siddharthsharma
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Thank you for posting this great course. It reinforced everything I've been learning.
Brilliant course, phenomenal content. I really enjoyed the overall flow as well. Great work MIT!

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