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Find out the latest TensorFlow news, updates and announcements from Packt Hub.

TensorFlow 1.9.0-rc2 releases!

After the 1.9.0-rc0 release early last month, the TensorFlow team is out with another update 1.9.0-rc2, unveiling major features and updates. The new release...

5 things you shouldn’t miss in DockerCon 2018 next week

DockerCon 2018 is around the corner and is taking place at the Moscone Center in San Francisco next week from 12th -15th June. More...

Python, Tensorflow, Excel and more – Data professionals reveal their top...

Data professionals are constantly on the lookout for the best tools to simplify their data science tasks - be it data acquisition, machine learning,...

Minko Gechev: “Developers should learn all major front end frameworks to...

This year's Skill Up survey produced some interesting results when it came to the best front end frameworks. Angular remains the most established tool...

How to build Deep convolutional GAN using TensorFlow and Keras

In this tutorial, we will learn to build both simple and deep convolutional GAN models with the help of TensorFlow and Keras deep learning...

TensorFlow.js 0.11.1 releases!

TensorFlow team has released a new version of TensorFlow.js - a browser-based JavaScript library - for training and deploying machine learning models. This new...

How to Build TensorFlow Models for Mobile and Embedded devices

TensorFlow models can be used in applications running on mobile and embedded platforms. TensorFlow Lite and TensorFlow Mobile are two flavors of TensorFlow for...

Microsoft Open Sources ML.NET, a cross-platform machine learning framework

Microsoft Corporation at its three day build conference held in Seattle, Washington announced the preview release of a machine learning framework called ML.NET. Developed...

Tensor Processing Unit (TPU) 3.0: Google’s answer to cloud-ready Artificial Intelligence

It won’t be wrong to say that the first day of the ongoing Google I/O 2018 conference was largely dominated by Artificial Intelligence. CEO...

Distributed TensorFlow: Working with multiple GPUs and servers

Some neural networks models are so large they cannot fit in memory of a single device (GPU). Such models need to be split over...