Understanding Deep Learning
udlbook.github.io
Understanding Deep Learning
1–10 of 103 posts
Re: Understanding Deep Learning
#2lit
Re: Understanding Deep Learning
#3This book looks impressive. There's a chapter on the unreasonable effectiveness of Deep Learning which I love. Any other books I should be on the lookout for?
Re: Understanding Deep Learning
#4I spent a decade working on various machine learning platforms at well known tech companies. Everything I ever worked on became obsolete pretty fast. From the ML algorithm to the compute platform, all of it was very transitory. That coupled with the fact that a few elite companies are responsible for all ML innovation, its oxymoronic to me to even learn a lot of this material.
Re: Understanding Deep Learning
#5No chapter on RNNs, but one on transformers is interesting, having last read Deep learning by ian goodfellow in 2016
Re: Understanding Deep Learning
#6This book looks impressive. There's a chapter on the unreasonable effectiveness of Deep Learning which I love. Any other books I should be on the lookout for?
Re: Understanding Deep Learning
#7I spent a decade working on various machine learning platforms at well known tech companies. Everything I ever worked on became obsolete pretty fast. From the ML algorithm to the compute platform, all of it was very transitory. That coupled with the fact that a few elite companies are responsible for all ML innovation, its oxymoronic to me to even learn a lot of this material.
What would you recommend someone read instead?
Re: Understanding Deep Learning
#8I spent a decade working on various machine learning platforms at well known tech companies. Everything I ever worked on became obsolete pretty fast. From the ML algorithm to the compute platform, all of it was very transitory. That coupled with the fact that a few elite companies are responsible for all ML innovation, its oxymoronic to me to even learn a lot of this material.
What would you recommend someone read instead?
Better to understand the bounds of whats currently possible. And then recognize when that changes. Much more economically valuable
Re: Understanding Deep Learning
#9As someone who missed the boat on this, is learning about this just for historical purposes now, or is there still relevance to future employment? I just imagine the OpenAI eats everyone's lunch in regards to anything AI related, am I way off base?
Re: Understanding Deep Learning
#10Earlier quoted context omitted.
What would you recommend someone read instead?
Better to understand the bounds of whats currently possible. And then recognize when that changes. Much more economically valuable
Do you think there's a better way to do this than spending some time playing around with the latest releases of different tools?