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Deep Learning NYC

recent years, techniques such as 16-bit precision, accumulated gradients and distributed training have allowed models to train in record times. In

this talk we’ll go through the implementation details of the 10 most useful of these techniques, including DataLoaders, 16-bit precision, accumulated gradients and 4 different ways of distributing model training across hundreds of GPUs.

Live from the London Loft | Building Serverless AI-powered Applications on AWS

Visit for more information on the current live coding shows, upcoming episode schedule, or for recordings of previous broadcasts

What’s New with AWS – Week of October 23, 2017

Learn what's new with AWS at - Find out what's new with Amazon Aurora PostgreSQL, EC2 P3 Instances, and expanded AWS Batch ..

AWS Mobile Week - San Francisco: Building Machine Learning Prediction on the Edge for Mobile and IoT

Learn more about AWS Mobile at - Machine Learning at the edge is about making your apps smarter with real-time object and face ..

AWS Summit Tel Aviv 2017: Deep Dive into Deep Learning with Apache MXNet on AWS

Learn more about AWS at - Deep learning continues to push the state of the art in domains such as computer vision, natural language ..

Smart cities: What technology makes possible | #smartcities

Thursday 5 Oct. | 11:45 – 12:25 | Plenagora [Harnessing technology plenary] Smart cities: What technology makes possible - #smartcities The smart city market ...

Deep Learning NYC - Attention and Translation Systems - Alex Wolf

Deep Learning in NLP has been dominated in the past years by recurrent and convolutional models. But other models emerge to improve translation quality and ...

Industry 4.0 - How Women Are Poised to Lead in the Smart Machine Age (2019)

To celebrate 50 years of educating students in the field of business, the Pepperdine Graziadio Business School hosted a full day event to reflect upon the ...

J.J. Allaire - Machine Learning with TensorFlow and R

Details: This month we Have J.J. Allaire, the Founder of RStudio ( talking about keras ( for deep learning in