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How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)

Developer Paige Bailey (@dynamicwebpaige) shows you how to take advantage of the accelerated hardware available to machine learning developers inside of a Google Colab. Both GPUs and TPUs are used as accelerators for the portions of the model that can be broken up into parallelizable operations. When you are training your model with a large amount of data, the use of specialized hardware significantly speeds up your machine learning projects. Stay tuned for the next episode of Coding TensorFlow, where we show you how to upgrade your existing TensorFlow code for 2.0 optimization! Predict Shakespeare with Cloud TPUs and Keras → http://bit.ly/2IEIaSV Let us know what you think in the comments below. We value your feedback! Want to watch more? → http://bit.ly/Coding-TensorFlow Subscribe to catch new episodes of Coding TensorFlow → https://bit.ly/TensorFlow1 #GPU #TPU #MachineLearning

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