ºÝºÝߣshows by User: jamesontoole / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: jamesontoole / Tue, 29 Oct 2019 19:38:17 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: jamesontoole Creating smaller, faster, production-ready mobile machine learning models. /slideshow/creating-smaller-faster-productionready-mobile-machine-learning-models/188305748 oreillyailondon20191-191029193817
Dr. Jameson Toole - Cofounder and CTO of Fritz AI - https://www.fritz.ai Abstract: Getting machine learning models ready for use on-device is a major challenge. Drag-and-drop training tools can get you started, but the models they produce aren’t small enough or fast enough to ship. In this talk, you’ll learn optimization, pruning, and compression techniques that keep app sizes small and inference speeds high. We’ll apply these techniques using mobile machine learning frameworks such as Core ML and TensorFlow Lite.]]>

Dr. Jameson Toole - Cofounder and CTO of Fritz AI - https://www.fritz.ai Abstract: Getting machine learning models ready for use on-device is a major challenge. Drag-and-drop training tools can get you started, but the models they produce aren’t small enough or fast enough to ship. In this talk, you’ll learn optimization, pruning, and compression techniques that keep app sizes small and inference speeds high. We’ll apply these techniques using mobile machine learning frameworks such as Core ML and TensorFlow Lite.]]>
Tue, 29 Oct 2019 19:38:17 GMT /slideshow/creating-smaller-faster-productionready-mobile-machine-learning-models/188305748 jamesontoole@slideshare.net(jamesontoole) Creating smaller, faster, production-ready mobile machine learning models. jamesontoole Dr. Jameson Toole - Cofounder and CTO of Fritz AI - https://www.fritz.ai Abstract: Getting machine learning models ready for use on-device is a major challenge. Drag-and-drop training tools can get you started, but the models they produce aren’t small enough or fast enough to ship. In this talk, you’ll learn optimization, pruning, and compression techniques that keep app sizes small and inference speeds high. We’ll apply these techniques using mobile machine learning frameworks such as Core ML and TensorFlow Lite. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oreillyailondon20191-191029193817-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Dr. Jameson Toole - Cofounder and CTO of Fritz AI - https://www.fritz.ai Abstract: Getting machine learning models ready for use on-device is a major challenge. Drag-and-drop training tools can get you started, but the models they produce aren’t small enough or fast enough to ship. In this talk, you’ll learn optimization, pruning, and compression techniques that keep app sizes small and inference speeds high. We’ll apply these techniques using mobile machine learning frameworks such as Core ML and TensorFlow Lite.
Creating smaller, faster, production-ready mobile machine learning models. from Jameson Toole
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Artificial intelligence at the edge /slideshow/artificial-intelligence-at-the-edge/94126043 artificialintelligenceattheedge-odsc-180417181350
Jameson Toole, co-founder and CEO of Fritz talks about moving machine learning and AI model to edge devices.]]>

Jameson Toole, co-founder and CEO of Fritz talks about moving machine learning and AI model to edge devices.]]>
Tue, 17 Apr 2018 18:13:50 GMT /slideshow/artificial-intelligence-at-the-edge/94126043 jamesontoole@slideshare.net(jamesontoole) Artificial intelligence at the edge jamesontoole Jameson Toole, co-founder and CEO of Fritz talks about moving machine learning and AI model to edge devices. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/artificialintelligenceattheedge-odsc-180417181350-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Jameson Toole, co-founder and CEO of Fritz talks about moving machine learning and AI model to edge devices.
Artificial intelligence at the edge from Jameson Toole
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Visualizing (BIG) data. /slideshow/visualizing-big-data/28192341 visualization-131113035504-phpapp02
A collection of slides on visualizing data (BIG or not). I am still adding slides here and tweaking things so if you have a correction, or opinion, or addition please let me know on Twitter @jamesonthecrow]]>

A collection of slides on visualizing data (BIG or not). I am still adding slides here and tweaking things so if you have a correction, or opinion, or addition please let me know on Twitter @jamesonthecrow]]>
Wed, 13 Nov 2013 03:55:04 GMT /slideshow/visualizing-big-data/28192341 jamesontoole@slideshare.net(jamesontoole) Visualizing (BIG) data. jamesontoole A collection of slides on visualizing data (BIG or not). I am still adding slides here and tweaking things so if you have a correction, or opinion, or addition please let me know on Twitter @jamesonthecrow <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/visualization-131113035504-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A collection of slides on visualizing data (BIG or not). I am still adding slides here and tweaking things so if you have a correction, or opinion, or addition please let me know on Twitter @jamesonthecrow
Visualizing (BIG) data. from Jameson Toole
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https://cdn.slidesharecdn.com/profile-photo-jamesontoole-48x48.jpg?cb=1572377891 https://cdn.slidesharecdn.com/ss_thumbnails/oreillyailondon20191-191029193817-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/creating-smaller-faster-productionready-mobile-machine-learning-models/188305748 Creating smaller, fast... https://cdn.slidesharecdn.com/ss_thumbnails/artificialintelligenceattheedge-odsc-180417181350-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/artificial-intelligence-at-the-edge/94126043 Artificial intelligenc... https://cdn.slidesharecdn.com/ss_thumbnails/visualization-131113035504-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/visualizing-big-data/28192341 Visualizing (BIG) data.