Google todayunveiled a slew of updates to its popular TensorFlow machine learning framework aimed at making it useful for a wider variety of developers and providing data scientists with new ways to get started building AI models.
Source: venturebeat.com
Don’t follow the TensorFlow docs since they explain how to setup a docker image and compile TF serving that takes forever. We can do much better. Some guy made a docker image with everything already compile on it, so we are going to use that one.
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NVIDIA’s Project Clara, a medical imaging supercomputer, renews the capabilities of these machines in place. Unveiled this week at the GPU Technology Conference, in Silicon Valley, Project Clara takes advantage of incredible advancements in computation.
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From November 2017 to January 2018 the Google Brain team hosted a speech recognition challenge on Kaggle. The goal of this challenge was to write a program that can correctly identify one of 10 words being spoken in a one-second long audio file. Having just made up my mind to start seriously studying data science with the goal of turning a new corner in my career, I decided to tackle this as my first serious kaggle challenge.
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