AI News, Discussing TensorFlow History, Challenges, and Learning Perspective
- On Wednesday, September 26, 2018
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Discussing TensorFlow History, Challenges, and Learning Perspective
TensorFlow is an open-source machine learning library originally developed by Google.
This session with Yaroslav Bulatov and Lukasz Kaiser of the Google Brain team overviews the formation of TensorFlow in brief, provides some examples of the tool applied within Google products, plans for the future, etc.
(OpenAI is a non-profit artificial intelligence research organization founded by recognized machine learning/AI research engineers and scientists.) He highlighted the following aspects:
- On Tuesday, January 22, 2019
MarI/O - Machine Learning for Video Games
MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: "NEAT" ..
Computer Vision and Machine Learning, by Nick Wong
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Continuously Train & Deploy Spark ML and Tensorflow AI Models from Jupyter Notebook to Production
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Kevin Murphy (Google Research) Abstract: In this talk, I summarize some recent work in my group related to visual scene understanding and "grounded" ...
Transforming Your Business with Cloud TPUs (Cloud Next '18)
Cloud TPUs are hardware accelerators for machine learning (ML) that enable ML engineers, ML researchers, and data science teams to iterate quickly and ...
Lecture 18: Tackling the Limits of Deep Learning for NLP
Lecture 18 looks at tackling the limits of deep learning for NLP followed by a few presentations.