TensorFlow
1. TensorFlow
All Machine Learning models are built on top of Google Cloud's AI foundational infrastructure. A part of this foundation is TensorFlow, which is an end to end open source platform for machine learning. TensorFlow has a flexible ecosystem of tools, libraries, and community resources that enable researchers to innovate in ML and developers to build and deploy ML powered applications. First developed for Google's Internal use, TensorFlow is now open source so that everyone can benefit. TensorFlow takes advantage of the Tensor Processing Unit, or TPU, which is Google's custom developed application specific integrated circuit used to accelerate machine learning workloads. TPUs act as domain specific hardware as opposed to general purpose hardware with CPUs and GPUs. With TPUs, the computing speed increases more than 200 times. This means that instead of waiting 26 hours for results with a state of the art GPU, you only need to wait for 7.9 minutes for a full cloud TPU pod to deliver the same results. Cloud TPUs have been integrated across Google products, and this state of the art hardware and supercomputing technology is available with Google Cloud products and services.2. Let's practice!
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