51–54 of 54 posts
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The guy cutting my lawn spent more on his tools than MATLAB costs.
I also spent more on video games in the last year than it costs. What's your point? That it's so cheap he should just buy it, even if there are better, cheaper tools out there? That seems like a waste to me.
ANNs are great for the right application. But I'm starting to fear "Deep Learning" is the new "Big Data" buzzword. I believe ANNs are Turing Complete, meaning they should be able to compute anything (EDIT: + "that is computable by any other Turing Machine"). The questions are, can a training regimen be created to create the right ANN to solve "any" problem, and if so, is it an efficient means to solve that problem? F…
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> But I'm starting to fear "Deep Learning" is the new "Big Data" buzzword. You spent several paragraph criticizing ANNs, but regular ANNs are not deep learning at all.
I didn't criticize ANN, I criticized perception of ANNs and learning algorithms as general purpose solutions. Also, I have no idea what you're talking about that ANNs are not involved with deep learning. Recurrent and Convolution Networks are types of ANN. https://en.wikipedia.org/wiki/Deep_learning
Earlier quoted context omitted.
I didn't criticize ANN, I criticized perception of ANNs and learning algorithms as general purpose solutions. Also, I have no idea what you're talking about that ANNs are not involved with deep learning. Recurrent and Convolution Networks are types of ANN. https://en.wikipedia.org/wiki/Deep_learning
Regular ANNs are not deep learning.