31–40 of 76 posts
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.
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.
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 announcement post was just published: https://research.googleblog.com/2017/02/announcing-tensorflo...
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.
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.
Edit: I should mention that the class mainly focuses on neural networks and image recognition. However, once you have the foundation, you can apply your skillset to a vast range of applications.
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…
Not necessarily about the article so may get downvoted, but is there a good book for TensorFlow/Machine Learning?