Live data from Hacker News

TensorFlow 1.0 Released

developers.googleblog.com

11–20 of 76 posts

Re: TensorFlow 1.0 Released

#11
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.

The r/MachineLearning subreddit has a pretty good wiki to get started.

https://www.reddit.com/r/MachineLearning/wiki/index

Re: TensorFlow 1.0 Released

#13
post #5
post #3

Kudos to the team. Anybody know if we can we train in languages other than Python yet (or do I have that wrong)?

I believe there's bindings for: C++, Java, Rust, Haskell and Go.

To load graphs and run sessions. Constructing graphs is (still) another story.

Re: TensorFlow 1.0 Released

#14
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.

[deleted]

Re: TensorFlow 1.0 Released

#15
For anyone updating to 1.0--

There are quite a few breaking changes but there is a very helpful conversion script here: https://github.com/tensorflow/tensorflow/tree/r1.0/tensorflo....

You can find the breaking changes in the 1.0 release here: https://github.com/tensorflow/tensorflow/releases/tag/v1.0.0

Re: TensorFlow 1.0 Released

#16

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…

which app may i know?

Re: TensorFlow 1.0 Released

#17
post #6
post #3

Kudos to the team. Anybody know if we can we train in languages other than Python yet (or do I have that wrong)?

I'll discuss this a bit during my talk at the dev summit. The short answer is no. The long answer is yes, but only if you create the model in Python, export it, and then feed training data in other languages. There are some people doing exactly that. Long term, I'd like to give all languages equal footing, but there's quite a bit of work left.

[deleted]

Re: TensorFlow 1.0 Released

#18

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…

which app may i know?

[deleted]

Re: TensorFlow 1.0 Released

#19
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 agree 100%. I'm not sure what AMD is thinking, but without support from major ML tools there is no chance of competing against NVidia in this space - and this space will grow larger and larger.

Re: TensorFlow 1.0 Released

#20
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.

I would recommend starting with a spreadsheet-sized dataset (no more than a few thousand records) where you want to predict one of the columns, use binary decision trees to try to predict it's value. Use either Azure ML Studio, or Jupyter with the Sci-Kit Learn library, depending on your comfort level with programming.
Post reply on HN