Posts in tag

TensorFlow Hub


When solving a new ML problem, it’s common to start by experimenting with a subset of your data in a notebook environment. But if you want to execute a long-running job, add accelerators, or run multiple training trials with different input parameters, you’ll likely find yourself copying code over to a Python file to do …

TF Dev Summit ’19 | TensorFlow Hub: Reusable Machine Learning TensorFlow Hub is a library for reusable pieces of machine learning. In this talk we will refresh when you would want to use it, talk about how it integrates with TF-2.0, and present some new modules added to https://tfhub.dev since last year. Speaker: André Susano …