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TensorFlow 1.0 Released

developers.googleblog.com

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Re: TensorFlow 1.0 Released

#21

Post by syntaxing »

timanglade wrote: post #9

Been using Tensorflow embedded in a mobile app for a few months and honestly, I’m constantly surprised at how well thought-out the tooling is, and how quickly you can get results. Conversely, I think a few things are still unnecessarily dense (installing dependencies, optimizing hyper-parameters, and some of the embedded/XLA stuff is very raw). Kudos to the team though. It sounds like they’re on the right track with…

Would you happen to know if it requires additional code to support the Hexagon digital signal processor (DS)from Qualcomm Or is it automatic (kinda like switching between Tensorflow-CPU and Tensorflow-GPU)? I mainly work with Tensorflow on a PC so I'm not too familiar with the embedded variants of Tensorflow. Thanks!

Re: TensorFlow 1.0 Released

#22

Post by drakonka »

I stumbled across a three-chapter preview of the upcoming book Learning TensorFlow on Safari Books Online and went through them in a sitting. It was so accessible - both the book and TensorFlow itself - and inspired me to start learning math so that when the rest of the book comes out I will be better prepared to go deeper. I love learning in general, but haven't been this excited about learning something totally new (for me) in a long time.

Re: TensorFlow 1.0 Released

#23

Post by aschampion »

dang wrote: post #12

We changed the URL from https://www.tensorflow.org/ , which doesn't say anything about 1.0, to an article which gives a bit of background. If someone suggests a better URL we can change it again.

The URL when I first clicked this was the GitHub release notes, which is far more informative and apropos to the HN audience than either the TF landing page or vague VentureBeat pseudonews.

Re: TensorFlow 1.0 Released

#24

Post by gregatragenet3 »

cstuder wrote: post #10

How do I get started with machine learning? I have a couple of applications in mind, mostly time series predictions. But the machine learning field seems to be vast and I don't know where to start.

This is a good introduction focused on tensorflow. https://www.youtube.com/watch?v=vq2nnJ4g6N0 (Tensorflow and deep learning - without a PhD by Martin Görner)

The ML/DNN rabbit-hole goes deep. If the video above leaves you wanting more, http://www.deeplearningbook.org/ does a good job on drilling into more specifics for the various techniques used. The examples on the tensorflow webpage are also very good.

Re: TensorFlow 1.0 Released

#25

Post by timanglade »

syntaxing wrote: post #21
timanglade wrote: post #9

Been using Tensorflow embedded in a mobile app for a few months and honestly, I’m constantly surprised at how well thought-out the tooling is, and how quickly you can get results. Conversely, I think a few things are still unnecessarily dense (installing dependencies, optimizing hyper-parameters, and some of the embedded/XLA stuff is very raw). Kudos to the team though. It sounds like they’re on the right track with…

Would you happen to know if it requires additional code to support the Hexagon digital signal processor (DS)from Qualcomm Or is it automatic (kinda like switching between Tensorflow-CPU and Tensorflow-GPU)? I mainly work with Tensorflow on a PC so I'm not too familiar with the embedded variants of Tensorflow. Thanks!

I don’t have any experience with that unfortunately. I’ve seen a couple of talks/demos/announcements about it and it sounds like it’s automatic, but I haven’t been able to find the SDK or any tutorial for it, so I’m not 100% sure. The Qualcomm speaker this morning said there would be more details about it later today but I don’t see anything on the Agenda [0]. Maybe Pete’s session at 12:40 will cover it?

[0]: https://events.withgoogle.com/tensorflow-dev-summit/agenda/#...

Re: TensorFlow 1.0 Released

#26

Post by petewarden »

timanglade wrote: post #25
syntaxing wrote: post #21

Earlier quoted context omitted.

Would you happen to know if it requires additional code to support the Hexagon digital signal processor (DS)from Qualcomm Or is it automatic (kinda like switching between Tensorflow-CPU and Tensorflow-GPU)? I mainly work with Tensorflow on a PC so I'm not too familiar with the embedded variants of Tensorflow. Thanks!

I don’t have any experience with that unfortunately. I’ve seen a couple of talks/demos/announcements about it and it sounds like it’s automatic, but I haven’t been able to find the SDK or any tutorial for it, so I’m not 100% sure. The Qualcomm speaker this morning said there would be more details about it later today but I don’t see anything on the Agenda [0]. Maybe Pete’s session at 12:40 will cover it? [0]: https:/…

I'm not going to cover it in detail in my talk, but the code with some barebones documentation is available at https://github.com/tensorflow/tensorflow/tree/master/tensorf...

One thing to note is that this isn't available on production phones yet, because we need a signed driver to run within Android. You should be able to run this on a Dragonboard 820 development board though, using the instructions in the README.

This is all very new though, so apologies in advance for any hiccups getting up and running. My email's petewarden at google.com if you are trying this and hit problems.

Re: TensorFlow 1.0 Released

#27

Post by taliesinb »

> Plus, soon Google will open-source code that will multiply the speed of TensorFlow — specifically version three of Google’s Inception neural network model — by 58.

Uh, nope, that was speedup on 64 GPUs (or CPU cores, can't remember). i.e. it scales linearly, something that TF hasn't always been good at v other frameworks. I'm amazed a journalist with (I assume) basic technical competence could make this mistake.

Re: TensorFlow 1.0 Released

#28

Post by [deleted] »

petewarden wrote: post #26
timanglade wrote: post #25

Earlier quoted context omitted.

I don’t have any experience with that unfortunately. I’ve seen a couple of talks/demos/announcements about it and it sounds like it’s automatic, but I haven’t been able to find the SDK or any tutorial for it, so I’m not 100% sure. The Qualcomm speaker this morning said there would be more details about it later today but I don’t see anything on the Agenda [0]. Maybe Pete’s session at 12:40 will cover it? [0]: https:/…

I'm not going to cover it in detail in my talk, but the code with some barebones documentation is available at https://github.com/tensorflow/tensorflow/tree/master/tensorf... One thing to note is that this isn't available on production phones yet, because we need a signed driver to run within Android. You should be able to run this on a Dragonboard 820 development board though, using the instructions in the README. T…

[deleted]

Re: TensorFlow 1.0 Released

#29

Post by syntaxing »

petewarden wrote: post #26
timanglade wrote: post #25

Earlier quoted context omitted.

I don’t have any experience with that unfortunately. I’ve seen a couple of talks/demos/announcements about it and it sounds like it’s automatic, but I haven’t been able to find the SDK or any tutorial for it, so I’m not 100% sure. The Qualcomm speaker this morning said there would be more details about it later today but I don’t see anything on the Agenda [0]. Maybe Pete’s session at 12:40 will cover it? [0]: https:/…

I'm not going to cover it in detail in my talk, but the code with some barebones documentation is available at https://github.com/tensorflow/tensorflow/tree/master/tensorf... One thing to note is that this isn't available on production phones yet, because we need a signed driver to run within Android. You should be able to run this on a Dragonboard 820 development board though, using the instructions in the README. T…

Thanks Tim and Pete!

Re: TensorFlow 1.0 Released

#30

Post by syntaxing »

andy_ppp wrote: post #8

Amazing work; it makes using AI and Deep Learning accessible for everyone here really. If you haven't seen it check this out for an intro: https://www.youtube.com/watch?v=vq2nnJ4g6N0 I wish AMD graphics cards were supported fully. I really think AMD should find a way to work with the Tensor Flow team on this...

I totally agree with you as well. I was looking for a new graphics card and was debating between the GTX1050 or the RX480. I ended up getting the 1050 since it has CUDA and CUDANN support even though the RX480 has better specs.
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