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TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)

1 month ago
Generating input data, running distributed TensorFlow training, and serving models all involve other infrastructure components. Jonathan Hseu describes integration for each of these steps. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza Subscribe to the Google Developers channel at goo.gl/mQyv5L

Distributed TensorFlow (TensorFlow Dev Summit 2017)

1 month ago
TensorFlow gives you the flexibility to scale up to hundreds of GPUs, train models with a huge number of parameters, and customize every last detail of the training process. In this talk, Derek Murray gives you a bottom-up introduction to Distributed TensorFlow, showing all the tools available for harnessing this power. Further reading: – tensorflow.org/extend/architecture […]

Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)

1 month ago
Did you know that TensorFlow models can be deployed in iOS and Android apps, and even run on Raspberry Pi? In this talk Pete Warden will go through everything you need to know to make this happen, and provide some golden technical pro-tips on the way. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza […]

TensorFlow at DeepMind (TensorFlow Dev Summit 2017)

1 month ago
In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and TensorFlow. He explains the importance of choosing a platform, the team’s choice to migrate to TensorFlow, and gives a number of examples of how DeepMind uses TensorFlow. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza Subscribe to the Google Developers […]

XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)

1 month ago
Speed is everything for effective machine learning, and XLA was developed to reduce training and inference time. In this talk, Chris Leary and Todd Wang describe how TensorFlow can make use of XLA, JIT, AOT, and other compilation techniques to minimize execution time and maximize computing resources. Visit the TensorFlow website for all session recordings: […]

Integrating Keras & TensorFlow: The Keras workflow, expanded (TensorFlow Dev Summit 2017)

1 month ago
Keras has the goal to make deep learning accessible to everyone, and it’s one of the fastest growing machine learning frameworks. Join Francois Chollet, the primary author of Keras, as he demonstrates how Keras can be used in TensorFlow through a video QA example. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza Subscribe to […]

Skin Cancer Image Classification (TensorFlow Dev Summit 2017)

1 month ago
Read the “Dermatologist-level classification of skin cancer with deep neural networks” paper: goo.gl/u8Vlqd Join Brett Kuprel, and see how TensorFlow was used by the artificial intelligence lab and medical school of Stanford to classify skin cancer images. He describes the project steps: from acquiring a dataset, training a deep network, and evaluating of the results. […]

TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)

1 month ago
TensorFlow allows you to define models using both low, as well as high-level abstractions. In this talk, Martin Wicke introduces Layers, Estimators, and Canned Estimators for defining models, and shows the roadmap for their availability in core TensorFlow. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza Subscribe to the Google Developers channel at goo.gl/mQyv5L

Hands-on TensorBoard (TensorFlow Dev Summit 2017)

1 month ago
Join Dandelion Mané in this talk as they demonstrate all the amazing things you can do with TensorBoard. You’ll learn how to visualize your TensorFlow graphs, monitor training performance, and explore how your models represent your data. Visit the TensorFlow website for all session recordings: goo.gl/bsYmza Subscribe to the Google Developers channel at goo.gl/mQyv5L

Keynote (TensorFlow Dev Summit 2017)

1 month ago
Jeff Dean, Rajat Monga, and Megan Kacholia delivered the keynote address at the inaugural TensorFlow Dev Summit. They discuss: – The origins of TensorFlow – Progress since TensorFlow’s open-source launch – TensorFlow’s thriving open-source community – TensorFlow performance and scalability – TensorFlow applications around the world … and share some exciting announcements! Visit the TensorFlow […]

TensorFlow: Machine Learning for Everyone

1 month ago
The TensorFlow community is thriving. We’re thrilled to see the adoption and the pace of machine learning development by people all around the world. TensorFlow is an open-source project for everyone and we’re looking forward to building it into something more useful in collaboration with the worldwide community! Check the TensorFlow website for the livestream […]

TensorFlow Dev Summit 2017 – watch live!

1 month ago
Watch the TensorFlow Dev Summit livestream here: goo.gl/WDyKPx Starting now! Tune in to the TensorFlow Dev Summit livestream to hear all the latest developments, by clicking the link above. Thanks! Subscribe to the Google Developers channel at goo.gl/mQyv5L