this is gold. thank you, Jeremy Howard and Fast.AI
@michaelmuller136
5 жыл бұрын
That was great! Waited a few month for this, the first lesson already made things so much clearer, it's important to understand concepts by building them yourself, thank you, great lesson!
@ReneeSLiu-zx5tj
5 жыл бұрын
This is going to be an exciting journey!! Thank you Jeremy.
@ilanaizelman3993
5 жыл бұрын
Thank you. This is gold!!!
@AbdulQayyum-kd3gf
5 жыл бұрын
Great lesson and clear understanding the basic concepts
@antoinemercier82
4 жыл бұрын
Hi Jeremy, could you please create a playlist for part 2 of this course?
@Iacutone
5 жыл бұрын
Excited to deepen my knowledge!
@robosergTV
3 жыл бұрын
wow, Jeremy is gold for ML community
@datasciyinfo5133
3 жыл бұрын
Hello, Our local Meetup is waiting for Part 2 to 2020 version (and fastbook), and it’s been 2 years since the 2019 lesson was posted. Still a very good start to the foundations. Sadly SWIFT for Tensorflow project is dead, and Chris Lattner seems to have left the group.
@Yasser2652
5 жыл бұрын
Thank you very much Jeremy!!!
@RetainTheDark
4 жыл бұрын
In which lecture does he teach Seq2Seq, attention, transformer etc??
@palaache
4 жыл бұрын
1:43:00 On Convolutional layers' initialisation
@dalissonfigueiredo
4 жыл бұрын
Trying to run the code at 1:04:26 a[i, None] will yeild a different shape than a[i].unsqueeze(-1) and wont work, if anybody is trying to run that be aware.
@wojciechmalinowski5412
4 жыл бұрын
I think Jeremy made a mistake. It works if you do it this way: c[x] = (a[x][:,None]*b).sum(0)
@---kt8cs
5 жыл бұрын
Finally
@gdoteof
5 жыл бұрын
lesson 9: kzitem.info/news/bejne/opl3nnx3kppofHo
@alanfortunysicart4919
2 жыл бұрын
Will this part two happen again ? Want to know whether to wait or not, as there are many things going on on transformers and gans, want to make sure I look at the latest available
@howardjeremyp
2 жыл бұрын
Yes there should be a new part 2 later this year
@alanfortunysicart4919
2 жыл бұрын
@@howardjeremyp Thanks a lot for your response and work in general.I take most specializations in coursera, and this is the most hands on course I have taken so far! You have heared already, but this is much more than a course, is a way to do deep learning! Will work with the notebooks in the meantime! We are already leveraging some of the ideas and library components for our use cases at Adidas. Thanks fastAI's team for the great work! stay in touch!
@ananyarana6744
2 жыл бұрын
1:22:40 Forward
@bastillionmusic1728
4 жыл бұрын
Are parts 1-7 available anywhere?
@toequantumspace
5 жыл бұрын
Awesome
@aryanchauhan8066
5 жыл бұрын
Can I start this series after andrew deeplearning.ai course
@MasayoMusic
5 жыл бұрын
Anyone know what the @ is within some of the functions?
@snehotoshbanerjee1938
5 жыл бұрын
matrix multiplication in python3
@jonatan01i
4 жыл бұрын
1:45:11 How can subtracting the same number from every point change their variance? Variance is independent from the mean, isn't it?
@randomjungles
4 жыл бұрын
Bigger window... Higher variance
@jonatan01i
4 жыл бұрын
@@randomjungles what is the window whose size has been increased?
@jonatan01i
4 жыл бұрын
1:49:48 Doesn't mse give us the loss? ypred = lin2(relu(lin1(x))) loss = mse(ypred, y) # mse(ypred, one_hot(y)) Am I awful? How am I awful?
@zurkcity6956
5 жыл бұрын
Lit!!
@smohanku
4 жыл бұрын
Can anyone help, that if I can start deep learning from this playlist or I need to first check the part1 mentioned in video
@devsasi169
4 жыл бұрын
You need to check the part 1.
@kshitijpatil2019
4 жыл бұрын
Putting it here for my reference: Broadcasting 52:11
@DHZheng100
5 жыл бұрын
Delicious and nutritious!
@akshaytiwari5085
4 жыл бұрын
04:23 Complete Machine Learning summed up in 15 seconds.
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