Lesson 8 - Practical Deep Learning for Coders 2022

00:00 - Neural net from scratch
04:46 - Parameters in PyTorch
07:42 - Embedding from scratch
12:21 - Embedding interpretation
18:06 - Collab filtering in fastai
22:11 - Embedding distance
24:22 - Collab filtering with DL
30:25 - Embeddings for NLP
34:56 - Embeddings for tabular
44:33 - Convolutions
57:07 - Optimizing convolutions
58:00 - Pooling
1:05:12 - Convolutions as matrix products
1:08:21 - Dropout
1:14:27 - Activation functions
1:20:41 - Jeremy AMA
1:20:57 - How do you stay motivated?
1:23:38 - Skew towards big expensive models
1:26:25 - How do you homeschool children
1:28:26 - Walk-through as a separate course
1:29:59 - How do you turn model into a business
1:32:46 - Jeremy's productivity hacks
1:36:03 - Final words

[bilalch]

I can safely say that Jeremy, and by extension, Fast AI have helped me power through some of the most difficult times in my life. The end result was my complete pivot towards a new field and I have never been happier or more driven. Thank you doesn't even cut it.

[girishkumar]

Thanks, Jeremy. This course is a life changing one.hope I will meet you and congratulate you, in person. Legend ✌️

[tumadrep]

I finish part 1 and part 2 is already up. What a great world we live in ladies and gentlemen

[jamesemilian]

What a course! I've never come across such a hands-on AI course before. I'm not technically a "coder", but the notebooks linked in the lectures were just perfect to experiment with and learn, bit by bit. Thank you, Jeremy. Looking forward to joining Part 2 of this course live!!

[hhemanth]

Thank you, Jeremy and Fast AI team! I'm very grateful for being able to go through this course.

[DavidRoberts]

great 😍..a pleasure to learn from a Deep Learning O'Sensei.
To quote Master Egami "Not every Sensei is a master and not every master is Sensei" 

but you definitely are!! ..Many thanks for sharing your knowledge and experience and opening the path to others

[mchristos]

You're a massive inspiration and role model Jeremy - thanks for the excellent course

[chuanqisun]

Thank you! I really enjoyed this course. Lots of hands-on practice with clear and succinct explanations. Eagerly waiting for part 2 now...

[jussir]

Thank you FastAi-team for an excellent course! It gave me belief that these things are possible to learn, even at an older age without going through huge amount of math.

[Saenayil]

I am so grateful for this course. This is the first time I've truly learned in years.

[adamkonopka]

Thank you very much for this course! Not just the content, but the way it is presented helped me massively to understand the field better! I'm looking forward to part 2. Also thanks for your character-insights (ie. do things differently, persistence) you have presented at the end.

[dmytronikolaiev]

AMA session timestamps:

1:20:57 - How do you stay motivated?
1:23:38 - Skew towards big expensive models and huge amount of data
1:26:25 - How do you homeschool children science and math?
1:28:26 - Walk-through as a separate course and coding sessions
1:29:59 - How do you turn model into a business?
1:32:46 - Jeremy's productivity hacks
1:36:03 - Final words

[yoverale]

Gracias por tanto Jeremy! Your work is doing a lot for helping all of us who come behind you, thanks for sharing with us your knowledge, your experience and your passion, it’s priceless

[alexandrestrube]

I have tried paid courses before and I always got stuck at the math mumbo jumbo. This course is orders of magnitude better than everything else I tried around. I would gladly pay for this one as I paid gladly for your book!

[galabyca]

Thanks Jeremy for this amazing content. You're an incredible pedagogue.

[melonkernel]

Thank you Jeremy. This is by far the best content on the Internet.

[mukhtarbimurat]

Thanks, Jeremy, this was an amazing course! Very helpful. I am at the start of my career as a Data Scientist, will share on forums my achievements!

[KetanSingh]

Okay, I'll watch LA Confidential now. Will watch the lecture later.

[conlanrios]

Thank you for putting this together! Looking forward to the next part.

[docnival]

This fastai course is the time I have gone farthest with fastai. Still a lot to do, but really hoping you'd do Part 2 :)