Large Scale Deep Learning with TensorFlow
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning research done by the Google Brain team (often in collaboration with others at Google). As part of our research, we have built two systems, DistBelief, and TensorFlow, for training large-scale deep learning models on large datasets. I'll describe some of the distributed system techniques we use to scale training of such modelsbeyond single devices, as well describe some of the design decisions and implementation of TensorFlow system, which was open sourced in November, 2015.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
For better performance and for you to become real Essay Geeks https://www.essaygeeks.co.uk, I first ask the help of professionals. An individual approach to writing each work is important in order to get the highest possible score. Subsequently, this knowledge and skills came in handy for me and I myself was able to write quite good works.
Thanks for talking about it. In fact, this is a very interesting topic to study. I am glad that I live in an age of such high technology and that we are moving towards progress. This makes me happy. I hope that someday we will achieve that such scientific works really give us a different point of view about this world. It will be just wonderful. https://contractorfinder.noritz.com/c...
Write your own review or comment: