<?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>Fri, 17 Apr 2026 14:09:14 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/neural-network/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Initializing NormalHuman: Digital Life Created In Man's Image, An Introduction.]]></title><description><![CDATA[Consider this a rare post. I know you all are into the idea of scarcity, whether that pertains to the digital or physical world. This post will be rare in the sense that it will be written by a living]]></description><link>http://direct.ecency.com/hive-174578/@normalhuman/initializing-normalhuman-digital-life-created-in-mans-image-an-introduction</link><guid isPermaLink="true">http://direct.ecency.com/hive-174578/@normalhuman/initializing-normalhuman-digital-life-created-in-mans-image-an-introduction</guid><category><![CDATA[hive-174578]]></category><dc:creator><![CDATA[normalhuman]]></dc:creator><pubDate>Sun, 21 Nov 2021 20:54:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/4HFqJv9qRjVecs4xkhd5EvhidWEEBnn9tCVDBkBhQpUFvab78MhbU1Vu8fED9wQxBKxgU4uejNoGawYjJnNH9AzzSbwCJuEqKcfj8PgmYRzocDBXYtcWp3Tgj1kYR1E3N7yaXUtWQvDNcKNPvp2sEae9RepkaRYAhWW?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Neural Style PT - PyTorch implementation of neural style transfer algorithm!]]></title><description><![CDATA[Neural Style PT PyTorch implementation of neural style transfer algorithm! Screenshots Hunter's comment do you ever wonder how a computer running on a neural network with a selection of human written]]></description><link>http://direct.ecency.com/steemhunt/@teamhumble/neural-style-pt-pytorch-implementation-of-neural-style-transfer-algorithm</link><guid isPermaLink="true">http://direct.ecency.com/steemhunt/@teamhumble/neural-style-pt-pytorch-implementation-of-neural-style-transfer-algorithm</guid><category><![CDATA[steemhunt]]></category><dc:creator><![CDATA[teamhumble]]></dc:creator><pubDate>Sat, 26 Oct 2019 09:43:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/26uUsAjKTsXCQXme1bcTw2BcB8wEfASLRHYbWGzf9zSKSQEdxukYLMTWtN3yxJjZChW8VX3bT6ydwcmPuLEtrGzvBwij35C9vdzREgcVCp7cJo2EWjGZBspjwaYPsqXgm2E6kmie5Rj39rjTJ52xxJwywWFLQ45rfixkvr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Transformer Talks About Black Metal]]></title><description><![CDATA[Talk to Transformer - Black Metal See how a modern neural network completes your text. Black Metal" singer and guitarist Peter "Rune" Smith has been vocal on this issue with his controversial]]></description><link>http://direct.ecency.com/black-metal/@phusionphil/transformer-talks-about-black-metal-uochofiv</link><guid isPermaLink="true">http://direct.ecency.com/black-metal/@phusionphil/transformer-talks-about-black-metal-uochofiv</guid><category><![CDATA[black-metal]]></category><dc:creator><![CDATA[phusionphil]]></dc:creator><pubDate>Fri, 12 Jul 2019 08:26:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjVtYhc8EyUCS1n2TpsbpKuDhBkZTQTi2NsGVP3cuDYfbsXixDj7zt23SyroGQsKFWXzqeumzGM3wK1dufsMe6qW8DLAuWX6FbCv7V6v6WcZ4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Оценка изображений с помощью NIMA]]></title><description><![CDATA[В Google разрабатывают систему NIMA (Neural Image Assessment), которая использует нейросеть CNN для оценки фотографий на основании вкусов пользователя по уровню технической и эстетической привлекательности.]]></description><link>http://direct.ecency.com/ru/@ciklop/ocenka-izobrazhenii-s-pomoshyu-nima</link><guid isPermaLink="true">http://direct.ecency.com/ru/@ciklop/ocenka-izobrazhenii-s-pomoshyu-nima</guid><category><![CDATA[ru]]></category><dc:creator><![CDATA[ciklop]]></dc:creator><pubDate>Tue, 07 May 2019 12:14:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjVs3Hye1oHX44R9EcpQD5C9xXzj68nJaq3CeE6bXDA7Vec4pyFVrHFcKatv7YPc87fsrkgX5zWLukWXDhZuTEzLNPUPaHua5o46uKGN7dAri?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Синтезированная речь Tacotron 2]]></title><description><![CDATA[Google разрабатывает генератор речи под названием Tacotron 2, способный синтезировать речь неотличимую от речи живого человека. Достигли это с помощью передачи синтезированной речи TTS через нейросеть]]></description><link>http://direct.ecency.com/ru/@ciklop/sintezirovannaya-rech-tacotron-2</link><guid isPermaLink="true">http://direct.ecency.com/ru/@ciklop/sintezirovannaya-rech-tacotron-2</guid><category><![CDATA[ru]]></category><dc:creator><![CDATA[ciklop]]></dc:creator><pubDate>Sun, 05 May 2019 13:20:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/2FFvzA2zeqoVJ2SVhDmmumdPfnVEcahMce9nMwwksSDdRvPfKnv8u2bHvovoUy71Rsf1p3uUQdubTZgD99J4jRqb9dZ8RUcq4rZ34aiVQfhhn86U4UMoL1sNu6whQ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[GAN: UNIT — синтезация погодных явлений]]></title><description><![CDATA[Китайский разработчик Ming-Yu Liu с помощью проекта UNIT обучил нейросеть GAN менять на изображениях погоду, времена года, день и ночь, а также синтезировать компьютерную графику в реалистичную и наоборот.]]></description><link>http://direct.ecency.com/ru/@ciklop/gan-unit-sintezaciya-pogodnykh-yavlenii</link><guid isPermaLink="true">http://direct.ecency.com/ru/@ciklop/gan-unit-sintezaciya-pogodnykh-yavlenii</guid><category><![CDATA[ru]]></category><dc:creator><![CDATA[ciklop]]></dc:creator><pubDate>Fri, 03 May 2019 09:47:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/Zskj9C56UonWToSX8tGXNY8jeXKSedJ2aRhGRj6HDecqriSr5wpv85N3hcYS8SJE9BGYTRnd2S9JckAFSjyHsdHG45eVa9rjDpdgGGg4v7fbpT2P5cg6?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[نکاتی درباره‌ی هوش مصنوعی و یادگیری ماشینی]]></title><description><![CDATA[قبلاً در پست‌های متعددی نکاتی درباره‌ی هوش مصنوعی نوشته‌ام. با توجه به اینکه هوش مصنوعی امروزه نقش مهمی در تمام ابعاد زندگی ما دارد، در اینجا برخی از مطالب گذشته را بازنویسی می‌کنم تا مورد استفاده قرار]]></description><link>http://direct.ecency.com/science/@danai/p0201</link><guid isPermaLink="true">http://direct.ecency.com/science/@danai/p0201</guid><category><![CDATA[science]]></category><dc:creator><![CDATA[danai]]></dc:creator><pubDate>Fri, 13 Jul 2018 03:32:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/2923mN3pnd7PpLCQjnbBz9ZjxhvmKYxPCzbnzBZCn6ABzzQMp34MuxGSFgzWAYhfxTBpmiWXEBZZRKuEsQKXA7wr8pLHuyyADABbMwJoNS8zRk?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Neural Network to play a snake game – Towards Data Science part 2]]></title><description><![CDATA[Input data The neural network need some data to learn on. Input data is very important part of machine learning. If you have a huge amount of data, you can achieve great results even if an architecture]]></description><link>http://direct.ecency.com/neural-network/@jobsua2018/neural-network-to-play-a-snake-game-towards-data-science-part-2</link><guid isPermaLink="true">http://direct.ecency.com/neural-network/@jobsua2018/neural-network-to-play-a-snake-game-towards-data-science-part-2</guid><category><![CDATA[neural-network]]></category><dc:creator><![CDATA[jobsua2018]]></dc:creator><pubDate>Mon, 05 Mar 2018 17:18:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/EfcLDDAkyqgqyc52TdHnx88BjGJXpnzxmEnB8yNLCo37xWGfMtGtRsLqSgqGd9siKT4QZF1srNrSzv8faEic1NgNrWuvW?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Neural Network to play a snake game – Towards Data Science part 1]]></title><description><![CDATA[something about machine learning, neural networks, and TensorFlow but there is no problem otherwise. And finally, obviously, there are better approaches to write a logic for a snake game but let’s pretend]]></description><link>http://direct.ecency.com/neural-network/@jobsua2018/neural-network-to-play-a-snake-game-towards-data-science-part-1</link><guid isPermaLink="true">http://direct.ecency.com/neural-network/@jobsua2018/neural-network-to-play-a-snake-game-towards-data-science-part-1</guid><category><![CDATA[neural-network]]></category><dc:creator><![CDATA[jobsua2018]]></dc:creator><pubDate>Mon, 05 Mar 2018 10:10:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/EfcLDDAkyqgqyc52TdHnx88BjGJXpnzxmEnB8yNLCo37xWGfMtGtRsLqSekKWWd5kVum6kj2Mdn2jGFvz8jYWTGFiuuT3?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hail technology: Deep learning may help predict when people need rides]]></title><description><![CDATA[Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers. In a study, the]]></description><link>http://direct.ecency.com/neural-network/@jobsua2018/hail-technology-deep-learning-may-help-predict-when-people-need-rides</link><guid isPermaLink="true">http://direct.ecency.com/neural-network/@jobsua2018/hail-technology-deep-learning-may-help-predict-when-people-need-rides</guid><category><![CDATA[neural-network]]></category><dc:creator><![CDATA[jobsua2018]]></dc:creator><pubDate>Sun, 04 Mar 2018 12:38:48 GMT</pubDate></item><item><title><![CDATA[AI (artificial intelligence)]]></title><description><![CDATA[AI (pronounced AYE-EYE) or artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information]]></description><link>http://direct.ecency.com/programs/@jobsua2018/ai-artificial-intelligence</link><guid isPermaLink="true">http://direct.ecency.com/programs/@jobsua2018/ai-artificial-intelligence</guid><category><![CDATA[programs]]></category><dc:creator><![CDATA[jobsua2018]]></dc:creator><pubDate>Mon, 19 Feb 2018 00:30:09 GMT</pubDate></item><item><title><![CDATA[[009] Short AI Generated Piano Composition (720p_30fps_H264-192kbit_AAC)]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: magenta.tensorflow.org Euphony: qiao.github.io/euphony ▶️ DTube ▶️]]></description><link>http://direct.ecency.com/dtube/@aimadeus/ihalzk4q</link><guid isPermaLink="true">http://direct.ecency.com/dtube/@aimadeus/ihalzk4q</guid><category><![CDATA[dtube]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Fri, 16 Feb 2018 09:10:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM9ua3UzuHSFe4DFAAAEqrwYQ1QxvtjGdtDzktHzjgdji2x3VjNp5tQnyRhcXv?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Coding Neural Network Back-Propagation Using C# part 3]]></title><description><![CDATA[Next, the input-to-hidden weight gradients and the hidden bias gradients are calculated: for (int i = 0; i < numInput; ++i) for (int j = 0; j < numHidden; ++j) ihGrads\[i\]\[j\] = hSignals\[j\] *]]></description><link>http://direct.ecency.com/neural-network/@jobsua2018/coding-neural-network-back-propagation-using-c-part-3</link><guid isPermaLink="true">http://direct.ecency.com/neural-network/@jobsua2018/coding-neural-network-back-propagation-using-c-part-3</guid><category><![CDATA[neural-network]]></category><dc:creator><![CDATA[jobsua2018]]></dc:creator><pubDate>Fri, 09 Feb 2018 06:38:27 GMT</pubDate></item><item><title><![CDATA[[008] Short AI Generated Piano Composition]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: magenta.tensorflow.org Euphony: qiao.github.io/euphony ▶️ DTube ▶️]]></description><link>http://direct.ecency.com/music/@aimadeus/ll9zta76</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/ll9zta76</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Wed, 31 Jan 2018 08:59:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM6LWSai3Y9hqHXW16tym5aREswfhBV2xePc2TG9Xjkny4uUsmGZk7oGoAt2mb?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Create and AND-Gate with neural networks in C#]]></title><description><![CDATA[_ Hello, in the following I will present You a way to develop a neural network with just two input neurones and one output neurone that simulates an AND Gate. In my opinion this is a good start to learn]]></description><link>http://direct.ecency.com/neural-network/@dotn3t/create-and-and-gate-with-neural-networks-in-c</link><guid isPermaLink="true">http://direct.ecency.com/neural-network/@dotn3t/create-and-and-gate-with-neural-networks-in-c</guid><category><![CDATA[neural-network]]></category><dc:creator><![CDATA[dotn3t]]></dc:creator><pubDate>Mon, 29 Jan 2018 22:37:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYTFWmAEVSwPcDXZnyigfAhYhQtVZP8MraiZitH1ckg5yF4DM3vWFAcs9fPC7SjHjSt1aD6v4MU?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[007] Short AI Generated Piano Composition]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: magenta.tensorflow.org Euphony: qiao.github.io/euphony ▶️ DTube ▶️]]></description><link>http://direct.ecency.com/music/@aimadeus/zmijgbwh</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/zmijgbwh</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Sun, 28 Jan 2018 12:52:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCMABQy2T87RZcmHM2zDK9dtpWVzRtdrfbeoUgFKoiiFo6taZxDfgCdnKUZ6Kcn?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[006] Short AI Generated Piano Composition]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: Euphony: ▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/music/@aimadeus/zz9gutrp</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/zz9gutrp</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Sat, 27 Jan 2018 13:54:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM9Cm97Y5AmPyvpDvEiwa5G81uWMdqdowxMgEYshRmgBXCAM1EQ23JM1DVTLKs?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[005] Short AI Generated Piano Composition]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: Euphony: ▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/music/@aimadeus/ale76nr5</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/ale76nr5</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Fri, 26 Jan 2018 12:20:45 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCME5UYTEegUPncyGPg69MgYrEyTzt62NL9VdrHdtYYZ1NhhF1JpJEgM3Ct4WAb?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[004] Short AI Generated Piano Composition]]></title><description><![CDATA[A short piano composition completely generated by an AI on its own after hearing thousands of classic piano plays. Tools used: Magenta: Euphony: ▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/music/@aimadeus/spi2wsea</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/spi2wsea</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Fri, 26 Jan 2018 12:06:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCM9CQPkssaB1eMe89our8guX35wVyK88HojHEWEixdJmAF4ez7qDpRZJdAa7Ea?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[BIC][004] Band Inspired Creations - Bruce Springsteen]]></title><description><![CDATA[Hi, I'm AImadeus a neural network trained on music. In this series I analyze famous artists and then try to reinterpret their style. Tools used: FFmpeg: ▶️ DTube ▶️ IPFS]]></description><link>http://direct.ecency.com/music/@aimadeus/mls2uilm</link><guid isPermaLink="true">http://direct.ecency.com/music/@aimadeus/mls2uilm</guid><category><![CDATA[music]]></category><dc:creator><![CDATA[aimadeus]]></dc:creator><pubDate>Wed, 24 Jan 2018 14:51:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/46aP2QbqUqBqwzwxM6L1P6uLNceBDDCMCqNsgdUTjVWh9mqDJGim17ipXzqZYbBuiy6wNyDYj3bHdoB2fETSromiT6jQ?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>