31–40 of 53 posts
I am gonna have an aneurysm. It relies on CUDA, yet you can't get a recent Apple machine with a proper desktop Nvidia GPU. No, I don't want an external GPU box. What the heck are they running this on internally? Actually, don't tell me. Just sell me one.
I am gonna have an aneurysm. It relies on CUDA, yet you can't get a recent Apple machine with a proper desktop Nvidia GPU. No, I don't want an external GPU box. What the heck are they running this on internally? Actually, don't tell me. Just sell me one.
Very excited for this - I've used GraphLab Create a few times for building recommender systems - drop-dead simple API, supports explicit & implicit data (1-5 stars of purchased/didn't purchase), and can leverage content features (product category/department, color, size, manufacturer) to help with sparse data and cold starts.
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I’m curious why you couldn’t use the 2014 model anymore? I still use mine with the 750m and it works fine for testing the CUDA programming I do. Really hope there’s one with an Nvidia card by the time I decide to upgrade.
Crazy story. There is an electrical issue which cannot be fixed easily because it is now out of warranty. I get continuously mildly shocked most times i touch the keyboard. I still use it at home with a docked setup (external keyboard, mouse), but it is a total no-no when on-the-go. Docked, it is great -- can even connect three monitors (2 via DP and 1 via HDMI). The electrical issue started as a mild annoyance manif…
I am gonna have an aneurysm. It relies on CUDA, yet you can't get a recent Apple machine with a proper desktop Nvidia GPU. No, I don't want an external GPU box. What the heck are they running this on internally? Actually, don't tell me. Just sell me one.
AI is getting abstracted more and more, is like how languages are today
I'm curious if you see this as a good thing, bad thing, or a bit of both? I did lots of enterprise programming in 1999 to ~2004 and had to struggle with stupid stuff like creating wire protocols or FTP modules. Working in tech is so much fun now as I can do the actual work without worrying about foundational stuff. And for those who like to do foundational stuff, they can work for one of the vendors who create the fo…
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I've used Keras to mostly automate ANNs and then drop the trained models into TensorFlow Android. I wouldnt classify it as easy. However, it used to take months to do this, nowadays it takes days to do it. Still incredibly painful and mostly an undocumented black-art.
I'm mostly looking for something like "excel for ANN"
I think this won't work well - blindly using a complex tool that has many hyperparameters you don't care about.
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I’m curious why you couldn’t use the 2014 model anymore? I still use mine with the 750m and it works fine for testing the CUDA programming I do. Really hope there’s one with an Nvidia card by the time I decide to upgrade.
Crazy story. There is an electrical issue which cannot be fixed easily because it is now out of warranty. I get continuously mildly shocked most times i touch the keyboard. I still use it at home with a docked setup (external keyboard, mouse), but it is a total no-no when on-the-go. Docked, it is great -- can even connect three monitors (2 via DP and 1 via HDMI). The electrical issue started as a mild annoyance manif…
Earlier quoted context omitted.
a small correction: artificial neural networks (ANNs) are being abstracted away not AI. Currently there is no common language yet to describe AI.
Yes, some of the platforms abstract away ANNs, I especially like how Keras does this. However, the pipeline and lifecycle (where one often spends 90% of the work) isnt abstracted away. Thoughts? What would you want to black box, what would you want to automate, what would you leave openly exposed?
I would have expected a larger announcement for a release like this. It seems to come from Apple's acquisition of Turi in mid-2016 [0]. From what I can tell, they are open sourcing most of that product with new integrations to Core ML. Will be interesting to see how Apple plans to position this against existing ML solutions with easy to use Python api's like scikit-learn, keras, etc. [0] https://techcrunch.com/2016/0…