Simplifying the process of building custom-trained computer vision models

Posted by Xingyou (Richard) Song, Software Engineer and Yuxiang Yang, AI Resident, Robotics at Google Rapid development of more accurate...

Degrees of freedom is an important concept from statistics and engineering.

It is often employed to summarize the number of values used in the calculation of a statistic, such as a sample statistic or in a statistical hypothesis test.

In machine learning…

We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.

The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

The Gradient Boosting Machine is a powerful ensemble machine learning algorithm that uses decision trees. Boosting is a general ensemble technique that involves sequentially adding models to the ensemble where subsequent models correct the performance of…

Posted by Keith Hall, Research Scientist, Natural Language Understanding, Google Research Update — 2021/05/20: We are expanding the Research Expl...

The number of input variables or features for a dataset is referred to as its dimensionality. Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset. More input features often make a predictive modeling task more…

Posted by Yuxiang Yang and Deepali Jain, AI Residents, Robotics at Google Recent advancements in deep reinforcement learning (deep RL) h...

Riemannian Adaptive Optimization Methods with pytorch optim - geoopt/geoopt

Project page for 'Scan-based Semantic Segmentation of LiDAR Point Clouds' with links to code and paper.