Revisiting Mask Transformer from a Clustering Perspective
https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html
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https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html
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blog.research.google
Revisiting Mask Transformer from a Clustering Perspective
Rewriting Image Captions for Visual Question Answering Data Creation
https://ai.googleblog.com/2022/07/rewriting-image-captions-for-visual.html
@tensorflowblog
https://ai.googleblog.com/2022/07/rewriting-image-captions-for-visual.html
@tensorflowblog
research.google
Rewriting Image Captions for Visual Question Answering Data Creation
Posted by Soravit Beer Changpinyo and Doron Kukliansky, Senior Software Engineers, Google Research Visual Question Answering (VQA) is a useful mac...
Towards Reliability in Deep Learning Systems
https://ai.googleblog.com/2022/07/towards-reliability-in-deep-learning.html
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https://ai.googleblog.com/2022/07/towards-reliability-in-deep-learning.html
@tensorflowblog
research.google
Towards Reliability in Deep Learning Systems
Posted by Dustin Tran and Balaji Lakshminarayanan, Research Scientists, Google Research Deep learning models have made impressive progress in visio...
Simplified Transfer Learning for Chest Radiography Model Development
https://ai.googleblog.com/2022/07/simplified-transfer-learning-for-chest.html
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https://ai.googleblog.com/2022/07/simplified-transfer-learning-for-chest.html
@tensorflowblog
blog.research.google
Simplified Transfer Learning for Chest Radiography Model Development
Training Generalist Agents with Multi-Game Decision Transformers
https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html
@tensorflowblog
https://ai.googleblog.com/2022/07/training-generalist-agents-with-multi.html
@tensorflowblog
research.google
Training Generalist Agents with Multi-Game Decision Transformers
Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL)...
ML-Enhanced Code Completion Improves Developer Productivity
https://ai.googleblog.com/2022/07/ml-enhanced-code-completion-improves.html
@tensorflowblog
https://ai.googleblog.com/2022/07/ml-enhanced-code-completion-improves.html
@tensorflowblog
research.google
ML-Enhanced Code Completion Improves Developer Productivity
Posted by Maxim Tabachnyk, Staff Software Engineer and Stoyan Nikolov, Senior Engineering Manager, Google Research Update — 2022/09/06: This post...
https://blog.tensorflow.org/2022/07/how-roboflow-enables-thousands-of-developers-to-use-computer-vision-with-TensorFlow.js.html
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@tensorflowblog
blog.tensorflow.org
How Roboflow enables thousands of developers to use computer vision with TensorFlow.js
Learn how Roboflow enables thousands of developers to use computer vision easily with TensorFlow.js live in the browser to prototype a production idea
Look and Talk: Natural Conversations with Google Assistant
https://ai.googleblog.com/2022/07/look-and-talk-natural-conversations.html
@tensorflowblog
https://ai.googleblog.com/2022/07/look-and-talk-natural-conversations.html
@tensorflowblog
blog.research.google
Look and Talk: Natural Conversations with Google Assistant
Enhancing Backpropagation via Local Loss Optimization
https://ai.googleblog.com/2022/07/enhancing-backpropagation-via-local.html
@tensorflowblog
https://ai.googleblog.com/2022/07/enhancing-backpropagation-via-local.html
@tensorflowblog
research.google
Enhancing Backpropagation via Local Loss Optimization
Posted by Ehsan Amid, Research Scientist, and Rohan Anil, Principal Engineer, Google Research, Brain Team While model design and training data are ...
Efficient Sequence Modeling for On-Device ML
https://ai.googleblog.com/2022/08/efficient-sequence-modeling-for-on.html
@tensorflowblog
https://ai.googleblog.com/2022/08/efficient-sequence-modeling-for-on.html
@tensorflowblog
research.google
Efficient Sequence Modeling for On-Device ML
Posted by Arun Kandoor, Software Engineer, Google Research The increasing demand for machine learning (ML) model inference on-device (for mobile de...
Building Efficient Multiple Visual Domain Models with Multi-path Neural Architecture Search
https://ai.googleblog.com/2022/08/building-efficient-multiple-visual.html
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https://ai.googleblog.com/2022/08/building-efficient-multiple-visual.html
@tensorflowblog
blog.research.google
Building Efficient Multiple Visual Domain Models with Multi-path Neural Architecture Search
Introducing the Google Universal Image Embedding Challenge
https://ai.googleblog.com/2022/08/introducing-google-universal-image.html
@tensorflowblog
https://ai.googleblog.com/2022/08/introducing-google-universal-image.html
@tensorflowblog
blog.research.google
Introducing the Google Universal Image Embedding Challenge
Efficient Video-Text Learning with Iterative Co-tokenization
https://ai.googleblog.com/2022/08/efficient-video-text-learning-with.html
@tensorflowblog
https://ai.googleblog.com/2022/08/efficient-video-text-learning-with.html
@tensorflowblog
research.google
Efficient Video-Text Learning with Iterative Co-tokenization
Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research, Brain Team Video is an ubiquitous source of media content that...
Rax: Composable Learning-to-Rank Using JAX
https://ai.googleblog.com/2022/08/rax-composable-learning-to-rank-using.html
@tensorflowblog
https://ai.googleblog.com/2022/08/rax-composable-learning-to-rank-using.html
@tensorflowblog
blog.research.google
Rax: Composable Learning-to-Rank Using JAX
Towards Helpful Robots: Grounding Language in Robotic Affordances
https://ai.googleblog.com/2022/08/towards-helpful-robots-grounding.html
@tensorflowblog
https://ai.googleblog.com/2022/08/towards-helpful-robots-grounding.html
@tensorflowblog
blog.research.google
Towards Helpful Robots: Grounding Language in Robotic Affordances
OptFormer: Towards Universal Hyperparameter Optimization with Transformers
https://ai.googleblog.com/2022/08/optformer-towards-universal.html
@tensorflowblog
https://ai.googleblog.com/2022/08/optformer-towards-universal.html
@tensorflowblog
blog.research.google
OptFormer: Towards Universal Hyperparameter Optimization with Transformers
https://blog.tensorflow.org/2022/08/content-moderation-using-machine-learning-a-dual-approach.html
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@tensorflowblog
blog.tensorflow.org
Content moderation using machine learning: a dual approach
In this article, learn how to use machine learning for the web to moderate text. TensorFlow.js offers a pre-trained model to detect harmful language.