Cloud Tensor Processing Units (TPUs ) enable machine learning engineers and researchers to accelerate TensorFlow workloads with Google-designed supercomputers on Google Cloud Platform. This talk will include the latest Cloud TPU performance numbers and survey the many different ways you can use a Cloud TPU today – for image classification, object detection, machine translation, language modeling, sentiment analysis, speech recognition, and more. You’ll also get a sneak peak at the road ahead.
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Using the Law of Attraction
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Using
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Managing and Using Information Systems: A Strategic Approach
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very powerful
very nicely done. I am not a ML professional but you kept me interested and going till the end.
Is there already a link to an open-source implementation of QAnet (Fast version)? https://youtu.be/zEOtG-ChmZE?t=20m
Strong presentation, full of energy! Kudos to Zak Stone! Very excited to see fast.ai recognized, and happy to see super convergence / 1cycle is starting to gain traction!
costly affair
is VGG 16 at the right point in the graph at 4:02 ? Novice here.