October 05, 2022 — Posted by Sujit Sanjeev, Product Manager, Robert Little, Sustainability Program Manager, Umair Sabir, Machine Learning Engineer
September 27, 2021 — Posted by Wei Wei, TensorFlow Developer Advocate
September 20, 2021 — Posted by Sayak Paul (MLE at Carted, and GDE) and Morgan Roff (Google)
September 08, 2021 — Posted by Luiz GUStavo Martins, Developer Advocate
March 02, 2021 — Posted by Luiz GUStavo Martins, Developer Advocate
December 18, 2020 —
Posted by Wei Wei, TensorFlow Developer Advocate
December 09, 2020 — Posted by Arno Eigenwillig, Software Engineer and Luiz GUStavo Martins, Developer Advocate
June 17, 2020 —
Posted by Luiz Gustavo Martins, Beat Gfeller and Christian Frank
Pitch is an attribute of musical tones (along with duration, intensity and timbre) that allows you to describe a note as “high” or “low”. Pitch is quantified by frequency, measured in Hertz (Hz), where one Hz corresponds to one cycle per second. The higher the frequency, the higher the note.
May 20, 2020 —
Posted by Jessica Yung and Joan Puigcerver
In this article, we'll walk you through using BigTransfer (BiT), a set of pre-trained image models that can be transferred to obtain excellent performance on new datasets, even with only a few examples per class.
December 19, 2019 —
By Jordan Grimstad
It’s been a year and a half since we introduced TensorFlow Hub, an open-source repository of ready to use pre-trained models published by Google and DeepMind. Since then, we’ve published hundreds of models -- some that are general-purpose and fine-tunable to specific tasks, others which are more specialized -- to help you get faster, smarter ML applications even with little dat…
January 28, 2019 —
Posted by Sara Robinson
Have you ever started building an ML model, only to realize you’re not sure which model architecture will yield the best results? Enter the TensorFlow-based AdaNet framework. With AdaNet, you can feed multiple models into AdaNet’s algorithm and it’ll find the optimal combination of all of them as part of the training process. I’ve been playing with it recently and have bee…
August 15, 2018 —
Posted by Sara Robinson, Developer Advocate
We often see transfer learning applied to computer vision models, but what about using it for text classification? Enter TensorFlow Hub, a library for enhancing your TF models with transfer learning. Transfer learning is the process of taking the weights and variables of a pre-existing model that has already been trained on lots of data and leveraging i…
March 30, 2018 —
Posted by Josh Gordon, Developer Advocate for TensorFlow
One of the things that’s so fundamental in software development that it’s easy to overlook is the idea of a repository of shared code. As programmers, libraries immediately make us more effective. In a sense, they change the problem solving process of programming. When using a library, we often think of programming in terms of building bloc…
