Google announced on Wednesday more information about the TensorFlow, the open source library that has already been downloaded over 41 million times. To make it even more accessible, Google made it available version alpha of TensorFlow 2.0, which Google says is simpler and more intuitive to use.
Additionally, Google announced version 1.0 of TensorFlow.js for the Javascript community. Google also added TF Federated, which allows users to leverage decentralized (decentralized) data, as well as TF Privacy for fairer and safer education.
With TensorFlow 2.0, Google makes APIs better integrated with tf.keras, the high-end API for most users. This will help developers move more easily from data acquisition to conversion, building new models, training, and ultimately developing.
Meanwhile, Google adds also new add-ons, such as TensorFlow Federated. The open source framework allows experimentation with mechanical learning and other calculations in decentralized data, or where the data is generated.
For those who don't know, TensorFlow Privacy is an open source library that makes it easy for developers to train the machine learning models they develop using techniques based on theory of privacyof the different.
This provides a guarantee that learning engine models developed will not learn or remember specific details about specific users.
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