Posted by Ming-Wei Chang and Kelvin Guu, Research Scientists, Google Research Recent advances in natural language processing have largely built upo...

August 5, 2020 at 8:30am-4:30pm PDTClick on the session title to view the video recording. You may also view the playlist on our YouTube channel.

Smart agricultural machines developed by Blue River Technology leverage PyTorch to target weeds without harming crops.

Are you getting different results for your machine learning algorithm? Perhaps your results differ from a tutorial and you want to understand why. Perhaps your model is making different predictions each time it is trained, even when it is trained on the same…

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Their instrumentation of this paper is available here:
https://app.wandb.ai/authors/alae/reports/Adversarial-Latent-Autoencoders--VmlldzoxNDA2MDY

You can even…

Posted by Yinfei Yang and Fangxiaoyu Feng, Software Engineers, Google Research A multilingual embedding model is a powerful tool that encodes text ...

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

[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors - yijingru/BBAVectors-Oriented-Object-Detection

NumPy arrays provide a fast and efficient way to store and manipulate data in Python. They are particularly useful for representing data as vectors and matrices in machine learning. Data in NumPy arrays can be accessed directly via column and row indexes…

Danfo.js is an open-source, JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. Danfo.js is heavily inspired by the Python Pandas library and provides a similar interface/API.…

Posted by Huiyu Wang, Student Researcher and Yukun Zhu, Software Engineer, Google Research The success of convolutional neural networks (CNNs) main...

Multi-output regression involves predicting two or more numerical variables. Unlike normal regression where a single value is predicted for each sample, multi-output regression requires specialized machine learning algorithms that support outputting multiple…

Blog for ML practicioners with articles about MLOps, ML tools, and other ML-related topics. You'll find here guides, tutorials, case studies, tools reviews, and more.

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📝 The paper "COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder" is available here:
https://nvlabs.github.io/COCO-FUNIT/
…

Image processing is the method through which we can do a certain operation on image to enhance and to extract some useful knowledge from the image.

In this article I will guide you how you can detect face Landmarks with Machine Learning. Have you ever thought how Snapchat manage to apply amazing filters

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❤️ Their mentioned post is available here: https://app.wandb.ai/ayush-thakur/interpretability/reports/Interpretability-in-Deep-Learning-with-W%26B---GradCAM--Vmlldzo5MTIyNw…

Learn about Fast Supernovae Detection with @TensorFlow in this guest post by Rodrigo Carrasco-Davis and the ALeRCE Collaboration @alercebroker.