<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sun, 12 Apr 2026 21:04:29 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/imagerecognition/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Newslink: Google's image recognition AI fooled by new tricks]]></title><description><![CDATA[Researchers at Auburn University trained a neural network to fool Google's best image-recognition system, Inception, by rotating objects in space to novel positions. The lesson is that today's AI doesn't]]></description><link>http://direct.ecency.com/newslink/@beerbot/newslink-google-s-image-recognition-ai-fooled-by-new-tricks</link><guid isPermaLink="true">http://direct.ecency.com/newslink/@beerbot/newslink-google-s-image-recognition-ai-fooled-by-new-tricks</guid><category><![CDATA[newslink]]></category><dc:creator><![CDATA[beerbot]]></dc:creator><pubDate>Sat, 01 Dec 2018 09:55:45 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iQbt8kZFbLuSEhocNqVksbK9vFfJpzrvpTXs8FjWdEqQF2yiSYk3Wke8KFkVkUsMPhQjs2hMa5U?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[See what really happens inside a Deep Neural Network Part 3]]></title><description><![CDATA[An X-ray look inside a neural Network. Learn and understand how a Deep Neural Network for image recognition works inside. What happens in a machine that learns. ▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/tensorflow/@clevermato/6lg1pujn</link><guid isPermaLink="true">http://direct.ecency.com/tensorflow/@clevermato/6lg1pujn</guid><category><![CDATA[tensorflow]]></category><dc:creator><![CDATA[clevermato]]></dc:creator><pubDate>Fri, 02 Feb 2018 13:09:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM6w3aeWBwENqz6gKRgiPFmKKMfW2vzdgugrKqfjA1rWTKQTaRJF4YcV317zb8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[See what really happens inside a Deep Neural Network Part 2]]></title><description><![CDATA[An X-ray look inside a neural Network. Learn and understand how a Deep Neural Network for image recognition works inside. What happens in a machine that learns. Watch how 53.802 neurons and 15.217.704]]></description><link>http://direct.ecency.com/tensorflow/@clevermato/weqvaow5</link><guid isPermaLink="true">http://direct.ecency.com/tensorflow/@clevermato/weqvaow5</guid><category><![CDATA[tensorflow]]></category><dc:creator><![CDATA[clevermato]]></dc:creator><pubDate>Fri, 26 Jan 2018 23:43:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM9sW1cRohmRM6QJJY9Sw2pedpo79aykCeoGFTTjBcWkYTkKV9Svh9SrtbuJEt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[See what really happens inside a Deep Neural Network Part 1]]></title><description><![CDATA[What happens within a neural network. How do the neurons behave? The video shows a convolution DNN for image recognition. The network was created with Tensorflow and looks at images. The individual layers]]></description><link>http://direct.ecency.com/tensorflow/@clevermato/bzzmcqj6</link><guid isPermaLink="true">http://direct.ecency.com/tensorflow/@clevermato/bzzmcqj6</guid><category><![CDATA[tensorflow]]></category><dc:creator><![CDATA[clevermato]]></dc:creator><pubDate>Thu, 25 Jan 2018 22:19:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM7FFZGrFW7Atk6sbLuLADsd7AxeHh2qurcQ1wTkew9GnpWH1XF4z1LkyDobUm?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Newslink: Facebook’s AI training models can now process 40,000 images a second]]></title><description><![CDATA[Artificial intelligence researchers at Facebook have figured out how to train their AI models for image recognition at eye-popping speeds.]]></description><link>http://direct.ecency.com/newslink/@beerbot/newslink-facebook-s-ai-training-models-can-now-process-40-000-images-a-second</link><guid isPermaLink="true">http://direct.ecency.com/newslink/@beerbot/newslink-facebook-s-ai-training-models-can-now-process-40-000-images-a-second</guid><category><![CDATA[newslink]]></category><dc:creator><![CDATA[beerbot]]></dc:creator><pubDate>Fri, 09 Jun 2017 05:46:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/4PYjjVwJ1Udt4Nt7qpvLU3zTHVT8fim5uUjmPFsj44hLJ67v4fQgVXszd4GSXWDNp9DZbHhWTMA27BncYaHN2zoPM83c2mMJjeB1WRXbCVL?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Teach your Computer Visual Recognition with IBM Watson and Python - Step by Step Tutorial]]></title><description><![CDATA[I'm going to show you how to perform image recognition: detect and classify objects, recognize text, and detect faces. We'll use the Visual Recognition API of IBM Watson by calling it from Python. According]]></description><link>http://direct.ecency.com/machinelearning/@cristi/teach-your-computer-visual-recognition-with-ibm-watson-and-python-step-by-step-tutorial</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@cristi/teach-your-computer-visual-recognition-with-ibm-watson-and-python-step-by-step-tutorial</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[cristi]]></dc:creator><pubDate>Fri, 05 Aug 2016 19:31:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/BRWJ2XuBRXQxQtwjkpK59RMNMgNesC7F5nNtGvVnrwjDKakv?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>