31–36 of 36 posts
"Deep learning requires a ton of tuning and tweaking, and getting good results is as much art as science." Funny when you think about it : Deep learning is supposed to avoid that ^^'
I think you're confusing deep learning with strong AI.
I didn't know there was a deep learning gold rush. Maybe this explains the crazy number of stars on my libdeep library on Github, while there being no comments or issues raised. Deep learning is not any sort of magic bullet. It may be marginally better than other machine learning methods in specific contexts, but I'm not convinced that there are going to be any deep learning tycoons or deep learning entrepreneurs (we…
It's not another machine learning algorithm, it's a feature learning algorithm. You can feed raw pixels into an SVM, but you aren't taking advantage of the structure of the data at all.
Earlier quoted context omitted.
Blogspam? I demand satisfaction!
Let me clarify: Techcrunch articles talking about papers being published. Blogspam to me is just something that talks about the stuff at such a high level, there's no meat in it. Within that subset I'm talking about academic concepts where you can learn a lot more if you just read the papers.
When the press talks about an academic paper, they tend not to add much value in terms of actually explaining what's going on. I think people drawing their own conclusions from the original works is the better way to go. Obviously not everyone will agree with me here, but so be it.
Earlier quoted context omitted.
Blogspam? I demand satisfaction!
Let me clarify: Techcrunch articles talking about papers being published. Blogspam to me is just something that talks about the stuff at such a high level, there's no meat in it. Within that subset I'm talking about academic concepts where you can learn a lot more if you just read the papers.
I didn't know there was a deep learning gold rush. Maybe this explains the crazy number of stars on my libdeep library on Github, while there being no comments or issues raised. Deep learning is not any sort of magic bullet. It may be marginally better than other machine learning methods in specific contexts, but I'm not convinced that there are going to be any deep learning tycoons or deep learning entrepreneurs (we…
About libdeep: Would be very useful if you had the man page inserted into the README. This way I can make a decision as to if I need this library without having to download/install.
I didn't know there was a deep learning gold rush. Maybe this explains the crazy number of stars on my libdeep library on Github, while there being no comments or issues raised. Deep learning is not any sort of magic bullet. It may be marginally better than other machine learning methods in specific contexts, but I'm not convinced that there are going to be any deep learning tycoons or deep learning entrepreneurs (we…
The fact that features can be learned means we could see the emergence of machine learning methods that could be used by anyone with a technical background, not just ML experts. That would be a big deal IMHO.