Smart Compose: Using Neural Networks to Help Write Emails
Google shared some information about their new feature. Most important: they claim to focus on Fairness and Privacy, training on completely anonimized data and trying to eliminate biases.
Link: https://ai.googleblog.com/2018/05/smart-compose-using-neural-networks-to.html
#Google #SmartCompose #FairAI #Privacy
🔗 Smart Compose: Using Neural Networks to Help Write Emails
Posted by Yonghui Wu, Principal Engineer, Google Brain Team Last week at Google I/O , we introduced Smart Compose , a new feature in Gmail...
Google shared some information about their new feature. Most important: they claim to focus on Fairness and Privacy, training on completely anonimized data and trying to eliminate biases.
Link: https://ai.googleblog.com/2018/05/smart-compose-using-neural-networks-to.html
#Google #SmartCompose #FairAI #Privacy
🔗 Smart Compose: Using Neural Networks to Help Write Emails
Posted by Yonghui Wu, Principal Engineer, Google Brain Team Last week at Google I/O , we introduced Smart Compose , a new feature in Gmail...
research.google
Smart Compose: Using Neural Networks to Help Write Emails
Posted by Yonghui Wu, Principal Engineer, Google Brain Team Last week at Google I/O, we introduced Smart Compose, a new feature in Gmail that uses ...
Plug-and-play differential privacy for your tensorflow code
#GoogleAI has just released a new library for training machine learning models with (differential) privacy for training data.
where you would write tf.train.GradientDescentOptimizer
instead just swap in the DPGradientDescentOptimizer
Tutorial: https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial.py
Link: https://github.com/tensorflow/privacy
#Privacy #tensorflow
🔗 tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy
#GoogleAI has just released a new library for training machine learning models with (differential) privacy for training data.
where you would write tf.train.GradientDescentOptimizer
instead just swap in the DPGradientDescentOptimizer
Tutorial: https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial.py
Link: https://github.com/tensorflow/privacy
#Privacy #tensorflow
🔗 tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy
GitHub
privacy/tutorials/mnist_dpsgd_tutorial.py at master · tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy