Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

When to expect data API code update (now that Tensorflow is in V1.4) #28

Open
magicmathmandarin opened this issue Jan 31, 2018 · 0 comments

Comments

@magicmathmandarin
Copy link

Hi Josh,
Thanks for sharing the notebooks! In the "07_structured_data", it states that "Using TensorFlow 1.4, the below can be written using regular Python code to parse the CSV file, via the Datasets. from_generator() method. This improves producivity a lot - it means you can use Python to read, parse, and apply whatever logic you wish to your input data - then you can take advantage of the reusable pieces of the Datasets API (e.g., batch, shuffle, repeat, etc) - as well as the optional performance tuning (e.g., prefetch, parallel process, etc).
In combination with Estimators, this means you can train and tune deep models at scale on data of almost any size, entirely using a high-level API. I'll update this notebook after v1.4 is released with an example. It's neat."

Now that v1.4 is released. Would you be updating this part of the notebook? Is so, when would you expect it complete? Thanks.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant