11–20 of 71 posts
Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late: I think some of the raving that's going on is unwarranted. This is a very nice , very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance / portability improvements. But it does not do an…
Is there anything an "early" programmer like myself can do to play around with this stuff without a background in the related math? I'm dying for this stuff to be dumbed down enough where Joe WebUser can feed in arbitrary data in a csv or point an app at a data source and get some sort of meaningful results. It truly seems like an area where once the barrier to entry is greatly reduced, the creativity of laymen will…
I'm dying for this stuff to be dumbed down enough[...]
There's no substitute for sweat. Have fun with the code they gave you and see where you end up!
Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late: I think some of the raving that's going on is unwarranted. This is a very nice , very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance / portability improvements. But it does not do an…
FYI, Jeff Dean is the inventor of most of Google's distributed computing infrastructure including MapReduce. Definitely up there with the likes of John Carmack and Fabrice Bellard as one of the great software engineers of all time.
FYI, Jeff Dean is the inventor of most of Google's distributed computing infrastructure including MapReduce. Definitely up there with the likes of John Carmack and Fabrice Bellard as one of the great software engineers of all time.
Personal favorite: "Jeff Dean once shifted a bit so hard, it ended up on another computer."
Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late: I think some of the raving that's going on is unwarranted. This is a very nice , very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance / portability improvements. But it does not do an…
I'm curious how the performance and scalability compares with Theano and Torch. I'm thinking the reason Google built this is that they wanted to scale computations to really large clusters (thousands, tens of thousands of machines) and the other options didn't really cut it.
An issue has been created to add TensorFlow to this shortly.
Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late: I think some of the raving that's going on is unwarranted. This is a very nice , very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance / portability improvements. But it does not do an…
Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late: I think some of the raving that's going on is unwarranted. This is a very nice , very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance / portability improvements. But it does not do an…
This is "not a game-changer" in the same way map-reduce isn't a game-changer wrt for loops.
Also check out TensorBoard, their visualization tool (animation halfway down the page):
http://googleresearch.blogspot.com/2015/11/tensorflow-google...
Earlier quoted context omitted.
I'm curious how the performance and scalability compares with Theano and Torch. I'm thinking the reason Google built this is that they wanted to scale computations to really large clusters (thousands, tens of thousands of machines) and the other options didn't really cut it.
Here's a page with various benchmarks: https://github.com/soumith/convnet-benchmarks An issue has been created to add TensorFlow to this shortly.