Welcome to Part 1 (v2)


(Andrea de Luca) #102

I apologize in advance if this question has been asked before, but why does the 1st video stop at LR finder explanation, whereas the 1st notebook has a lot more stuff after that?


(Aditya) #103

Jeremy believes I guess that something should be left for self exploration otherwise it’s like spoon fed…

Also don’t go by the cell number, it’s not that way in the later notebooks…


(Aditya) #104

Model will have parameters?
(It’s PyTorch)

Model . summary ()?
Or
Just print the learner (m)
(Forgotten the proper call, haven’t run the DL notebooks in a while)


(Andrea de Luca) #105

Ok, I just believed the nbs were not yet synced with the videos.


(Nate) #106

@jeremy
I think there is a typo in the text on http://course.fast.ai/lessons/lesson1.html:
“An important point discussed is how to data for this lesson needs to be structured.”

Also, thank you so much for v2. I thought v1 was incredible but struggled with setup (windows native) and also with modifying notebooks to different datasets while maintaining performance. I have only completed the first v2 lesson and used one Kaggle dataset, but the process has been so much smoother and faster. I look forward to digging into the details as I progress!

Thank you so much for what you and Rachel are doing for the community, I cannot believe this is all free. I hope more people will take advantage of such an incredible resource in order to improve lives around the world.


(LAMIDI KOLAWOLE) #107

Could anyone reply with a link to upload your dataset into Crestle in order to practice lesson 1


(Kouassi Konan Jean-Claude) #108

Hi @jeremy,
please, is it possible to accelerate the pip version update of fastai library?
https://pypi.python.org/pypi/fastai/0.6 (that is from 2017-11-29).
Indeed, I found it more stable in some environments, but the new updates such as the opencv dependency removing in favor of PIL have to be taken into account.
Could we have an idea of when that will be done, please?


(kumar kaushik) #109

Hi, can you please send another link? This link has expired too! I am desperately looking for a study group!


(Adam Wespiser) #110

Hello, Just saying HI! I’m about done with the first week, and really enjoying the course! Thanks a million for putting this stuff online!
Best,
Adam Wespiser
Data Science @ College Vine


(Arif Alam) #111

Can Lesson 1 code be used for Google’s Landmark Recognition Challenge? It contains nearly 1.2M training images and and close to 15K classes.


(Sandip) #112

its learn.summary()
[ref: lesson 3 video @1:56:56 ]


(Ejiro Onose) #113

I am part of the AI class here in Lagos, it has been overwhelming and wonderful


#114

Hi Jeremy
Had not realised you have run the Coders course again. When I found it I played the lesson 1 video and was really pleased with what I saw and heard. It is a privilege to watch a very polished presentation and has rekindled a desire to run through the lessons again. Especially with the new improvements which this issue has been built upon.

I would like to start out right at the beginning running the code on my Ubuntu 16.04 server with gtx1080 ti. I used this while running the 2017 version. My server has not been run for a while so on starting it up there will be a lot of software up grades to perform and this may break my Cuda system. Before I do these upgrades is it written somewhere how to set up the PyTorch environment, or what the requirements are for PyTorch. I guess I’ll head there first, but some pointers would be welcome.

Thanks to yourself and Rachel for your commitment.


(Aditya) #115

Everything is available at Reshma’s GitHub repository…
Or At fast.ai GitHub’s repository

Searching the forum will help…


#116

Hi @ecdrid
Thanks
I’ve overcome the biggest hurdle and thats updating my local box with the latest drivers etc for GPU since I have’nt used it in months. I am running the yml script which returns dependency issues for pytorch >= 0.2.0 but seem to have solved that with a conda update of my base anaconda3 environment. Have installed cuda-9-1 for my gpu engine so perhaps there may be some issues with dependencies in the yml file.


(Aditya) #117

So you are good to go then…


(Eckhardt_pasenau) #118

Sorry, I am unfortunately a little confused. I dont seem to get the actual link for version 2, can anyone help? (sorry, probably just me).


(Atul Krishna Singh) #119

For free GPU access through google colaboratory, you can follow this blog.
[http://theailearner.com/2018/03/10/free-gpu-for-fast-ai-on-google-colab/]


(Rinzin Wangchuk) #121

Is object localization taught in part 1?


(Cedric Chee) #122

No. My assumption is, object localization is same as object detection, although they are not technically. In Part 1, our studies focused on CNNs for classification. Part 2 will go beyond classification.