Practical Deep Learning for Coders 2018
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Re: Practical Deep Learning for Coders 2018
#2Enjoyed the first iteration of the course, will definetly check this one!
Re: Practical Deep Learning for Coders 2018
#3Jeremy 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
Re: Practical Deep Learning for Coders 2018
#4fast.ai international fellowship recipient here - The second iteration of the fast.ai course is totally worth. If you can code in Python, you can master deep learning. Join our fantastic community!
Re: Practical Deep Learning for Coders 2018
#5Jeremy 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
What's the recommended cloud runtime for v2? Is it still AWS, or is it Crestle or similar?
Re: Practical Deep Learning for Coders 2018
#6Jeremy 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
What's the recommended cloud runtime for v2? Is it still AWS, or is it Crestle or similar?
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.
Re: Practical Deep Learning for Coders 2018
#7[deleted]
Re: Practical Deep Learning for Coders 2018
#8Jeremy 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
So. Many. Resources. When I have the time I'm watching the first course with Keras and Theano, haven't gotten to the second course with Tensorflow, and now this. My question is, is it worth my while to continue watching the Keras/Theano videos or should I skip to the Keras/Tensorflow videos or even to the fastai/PyTorch videos? Are the same concepts covered or does each series cover different things?
Re: Practical Deep Learning for Coders 2018
#9Jeremy 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
So. Many. Resources. When I have the time I'm watching the first course with Keras and Theano, haven't gotten to the second course with Tensorflow, and now this. My question is, is it worth my while to continue watching the Keras/Theano videos or should I skip to the Keras/Tensorflow videos or even to the fastai/PyTorch videos? Are the same concepts covered or does each series cover different things?
Definitely skip to this new course. Sorry I should have provided a link to the FAQ where this and other questions are answered: http://forums.fast.ai/t/part-1-faq/10330
The concepts and skills you learned from the 2017 are entirely transferable - learning the software packages is the easiest part, and the various libraries are similar enough that switching between them doesn't take much time.
Re: Practical Deep Learning for Coders 2018
#10Earlier quoted context omitted.
What's the recommended cloud runtime for v2? Is it still AWS, or is it Crestle or similar?
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.