Deep Learning for Coders – Launching Deep Learning Part 2
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Re: Deep Learning for Coders – Launching Deep Learning Part 2
#2The n00best path to data science and machine learning state of the art is now complete, no excuses! 2015: Andrew Ng's Coursera MOOC; 2016: Kaggle competitions with xgboost and ensembles; 2017: deep learning code-oriented courses with fast.ai and GPU hardware for the masses. Thanks, very lucky to witness and try this.
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#3Highly recommended! The first course was the first thing I came across that helped me contextualize the DL field into something that might be relevant for my work. It's a great way to get your hands dirty.
One point of comparison is Cam Davidson Pilon's Bayesian Methods for Hackers, they have a similar vibe: practical applied advice from a field that tilts towards the academic...
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#4Latently (SUS17) also provides a more self-directed path to learning deep learning focused exclusively on implementing research papers and conducting original research: https://github.com/Latently/DeepLearningCertificate
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#5What is the goal of these trainings? To get a taste so you understand the conversation? There is a lot more to data science than neural networks, and I'm skeptical that teaching one family of models will create a set of implementers that don't compare and contrast solutions.
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#6jph00, I found the first course hard to follow because of some broken links and poorly organized content. One link that was necessary kept taking me to a password protected page. This is about a month ago.
It would be good if someone could revisit part.1 and make those minor editorial fixes if they haven't already done so.
I might be being too precious about my time, but I also found the first video about your teaching philosophy somewhat gratuitous; I wish I hadn't watched it.
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#7jph00, I found the first course hard to follow because of some broken links and poorly organized content. One link that was necessary kept taking me to a password protected page. This is about a month ago. It would be good if someone could revisit part.1 and make those minor editorial fixes if they haven't already done so. I might be being too precious about my time, but I also found the first video about your teachi…
The move from platform.ai to files.fast.ai could have been communicated better - sorry this impacted you. (We tried to highlight everywhere we could, but we can't change the video itself on YouTube unfortunately.)
We're redoing the whole of part 1 starting in October so this problem will be fully resolved then. Until then, follow the links on course.fast.ai or the forums, rather than what you see in the part 1 videos, or just remember to always replace platform.ai with course.fast.ai.
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#8This is exciting! I went through Part 1 a few weeks ago (probably have to cover embeddings and RNNs again...) and felt it was totally worth it.
Part 2 seems equally strong in content (if not stronger). It's a beautiful time to be n00b in deep learning & AI, and learn via material like these. No excuses. Knowledge is power.
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#9Wonderful! You picked a really nice selection! Can't wait to do them all! Thank you!
Re: Deep Learning for Coders – Launching Deep Learning Part 2
#10jph00, I found the first course hard to follow because of some broken links and poorly organized content. One link that was necessary kept taking me to a password protected page. This is about a month ago. It would be good if someone could revisit part.1 and make those minor editorial fixes if they haven't already done so. I might be being too precious about my time, but I also found the first video about your teachi…
The move from platform.ai to files.fast.ai could have been communicated better - sorry this impacted you. (We tried to highlight everywhere we could, but we can't change the video itself on YouTube unfortunately.) We're redoing the whole of part 1 starting in October so this problem will be fully resolved then. Until then, follow the links on course.fast.ai or the forums, rather than what you see in the part 1 videos…
Oh and about the teaching philosophy video - until we posted that we had quite a few students express confusion about the top-down approach. After posting it, we've received a lot of positive feedback about it. I understand it's not helpful or interesting to everyone, but overall it seems to have been a successful addition for most.