As machine learning evolves from experimentation to serving production workloads, so does the need to effectively manage the end-to-end training and production workflow including model management, versioning, and serving. Clemens Mewald offers an overview of TensorFlow Extended (TFX), the end-to-end machine learning platform for TensorFlow that powers products across all of Alphabet.
This session is sponsored by Google.
Clemens Mewald is a product manager in Google’s Research and Machine Intelligence Group. He is the product lead for TensorFlow Extended (TFX), an end-to-end ML platform based on TensorFlow, and several other TensorFlow products. Clemens holds an MSc in computer science from UAS Wiener Neustadt, Austria, and an MBA from MIT Sloan.
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