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Practical Deep Learning for Coders 2018

fast.ai

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Re: Practical Deep Learning for Coders 2018

#11

Post by mcintyre1994 »

jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

Is the 'fastai' library on Pytorch something you'd recommend only for beginning/learning/this course, or is it intended to be used in production beyond the course? Is it being positioned more as a learning aid or as an open source library with a life beyond this course?

Also, any chance of https on the forum?

Re: Practical Deep Learning for Coders 2018

#12

Post by jph00 »

mcintyre1994 wrote: post #11
jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

Is the 'fastai' library on Pytorch something you'd recommend only for beginning/learning/this course, or is it intended to be used in production beyond the course? Is it being positioned more as a learning aid or as an open source library with a life beyond this course? Also, any chance of https on the forum?

Definitely well beyond the course. It's designed to be the easiest way to create world-class models. I'll be providing a lot more information on how we're doing this in the next week or two.

PS: The focus of fastai is training, not production. The models you end up with are largely standard pytorch models, so standard pytorch approaches to production work fine. For most people, a simple flask endpoint with CPU inference is generally the best approach for this (e.g. all the deep learning web apps at http://allenai.org/ use this approach AFAIK.)

Re: Practical Deep Learning for Coders 2018

#13

Post by jph00 »

sidchilling wrote: post #10
jph00 wrote: post #6

Earlier quoted context omitted.

We suggest Paperspace now. Lesson 1 walks you through getting set up. It's very easy - there's a fast.ai template there ready to go. They have the best price/performance ratio of anyone at the moment for GPUs.

Can I still use AWS though? Does the setup scripts remain the same? I had already set up an AWS server (my company has provided us some cash for personal learning) from the old lessons, but haven't started the lessons yet. It'd be great if I can switch to the new lessons but with AWS.

Yup AWS is fine too. We have a new AMI available if you want to use it, and also a predefined conda environment to add fastai/pytorch to an existing server. Lesson 2 covers AWS usage, and there's also step by step instructions linked from the forum.

Re: Practical Deep Learning for Coders 2018

#14

Post by ShirsenduK »

jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

This is so uncool!

This is again going to take up my weekends just like their previous course. :D

Congrats on the new course! Thank you. :)

Re: Practical Deep Learning for Coders 2018

#15

Post by jph00 »

ShirsenduK wrote: post #14
jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

This is so uncool! This is again going to take up my weekends just like their previous course. :D Congrats on the new course! Thank you. :)

> This is so uncool!

Why thank you :) Being uncool is our specialty.

Re: Practical Deep Learning for Coders 2018

#16

Post by wyattk »

jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

Jeremy,

I'm having trouble finding the (old) 2017 material. I would like to see it for my reference. Do you know where this is located?

Re: Practical Deep Learning for Coders 2018

#17

Post by jph00 »

wyattk wrote: post #16
jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

Jeremy, I'm having trouble finding the (old) 2017 material. I would like to see it for my reference. Do you know where this is located?

Here you go: http://course17.fast.ai . (It's also linked from the 2nd paragraph of the new course FYI.)

The old forum is still at the same place http://forums.fast.ai/c/part1

Re: Practical Deep Learning for Coders 2018

#19

Post by testdeep »

jph00 wrote: post #3

Jeremy from fast.ai here. Happy to answer any questions about the course, fastai, or anything else relevant! BTW the 2018 version of the course is being discussed in this forum, for those interested: http://forums.fast.ai/c/part1-v2

Hi jeremy,

I am a web dev, JS being my first lang of choice :-), and i have been trying to get into machine learning/deep learning/AI, but I am having a information overload.

I have 0 knowledge about this field, so my question is should i just start with machine learning, instead of jumping right into deep learning ? Or is it ok to jump right into deep learning and is it possible to do all the stuff done with machine learning with deep learning ?

Just like when a person who shows an interest on learning to code I refer them to Python instead of C++, what do you recommend ?

Re: Practical Deep Learning for Coders 2018

#20

Post by briandw »

I just finished the "soft launch" version of this. It's a truly excellent way to get started with deep learning. The course is very hands on and practical. This version has been updated to use pytorch and a bunch of new techniques. Highly recommended if you are looking to get started with deep learning.
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