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Norbert_R 🐘🦣:mastodon:<a href="https://mastodon.social/tags/SGU" class="mention hashtag" rel="nofollow noopener" target="_blank">#SGU</a> <a href="https://mastodon.social/tags/TheSkepticsGuideToTheUniverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#TheSkepticsGuideToTheUniverse</a>: The Skeptics Guide #1008 - Nov 2 2024Quickie with Bob: Predicting <a href="https://mastodon.social/tags/Earthquakes" class="mention hashtag" rel="nofollow noopener" target="_blank">#Earthquakes</a>; News Items: <a href="https://mastodon.social/tags/Cell_Phones" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cell_Phones</a> and <a href="https://mastodon.social/tags/Brain_Cancer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Brain_Cancer</a>, <a href="https://mastodon.social/tags/Gold" class="mention hashtag" rel="nofollow noopener" target="_blank">#Gold</a> from Earthquakes, <a href="https://mastodon.social/tags/Plastic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Plastic</a> in the <a href="https://mastodon.social/tags/Brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#Brain</a>, <a href="https://mastodon.social/tags/Quantum" class="mention hashtag" rel="nofollow noopener" target="_blank">#Quantum</a> <a href="https://mastodon.social/tags/Neural_Network" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neural_Network</a>, <a href="https://mastodon.social/tags/Marmosets" class="mention hashtag" rel="nofollow noopener" target="_blank">#Marmosets</a> have Names; Your questions and E-mails: <a href="https://mastodon.social/tags/Beetles" class="mention hashtag" rel="nofollow noopener" target="_blank">#Beetles</a>; Name That Logical Fallacy; <a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a> or FictionWebseite der Episode: <a href="https://www.theskepticsguide.org/podcast/sgu" rel="nofollow noopener" translate="no" target="_blank">https://www.theskepticsguide.org/podcast/sgu</a>Mediendatei: <a href="https://traffic.libsyn.com/secure/skepticsguide/skepticast2024-11-02.mp3" rel="nofollow noopener" translate="no" target="_blank">https://traffic.libsyn.com/secure/skepticsguide/skepticast2024-11-02.mp3</a>

Josué Boisvert :raylib:<a href="https://gamengen.github.io/" rel="nofollow noopener" translate="no" target="_blank">https://gamengen.github.io/</a> Ok, I need some help understanding this one, they took thousands of frame of a fully built game, <a href="https://mastodon.gamedev.place/tags/doom" class="mention hashtag" rel="nofollow noopener" target="_blank">#doom</a>, recorded using a bot to train a <a href="https://mastodon.gamedev.place/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> into rendering a fever dream version of the game... why? What's the point? The methodology is wasteful, the results is subpar and the use case is none existent <a href="https://mastodon.gamedev.place/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.gamedev.place/tags/gamedev" class="mention hashtag" rel="nofollow noopener" target="_blank">#gamedev</a>

HabrГрафовые сети в рекомендательных системахВсем привет! Меня зовут Александр Тришин, я работаю DS в команде персональных рекомендаций Wildberries и занимаюсь графовыми нейросетями. Это был мой первый опыт работы с графовыми сетями, и мне пришлось погрузиться в изучение статей и проведение собственных экспериментов. В процессе я нашел много интересного и полезного, поэтому решил поделиться своими находками с вами. В результате графовая нейросеть используется в качестве кандидатной модели для увеличения exploration. В этой публикации я расскажу вам о LightGCN и не только . Вспомним, что такое сверточные графовые сети, их основные компоненты и принципы работы: подробно разберем модель на user-item графе, после перейдём к item-item графу. Затем познакомимся с моделью LightGCN: рассмотрим архитектуру, процесс обучения, недостатки (медленная сходимость и смещение в популярное) и варианты их устранения. А в конце посмотрим, как это всё применять на практике: обучим сетку на датасете Movielens-25m, замерим метрики, столкнёмся с проблемами LightGCN и вместе их решим! Ноутбук прилагается 🤓<a href="https://habr.com/ru/companies/wildberries/articles/826422/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/companies/wildberries/articles/826422/</a><a href="https://zhub.link/tags/recsys" class="mention hashtag" rel="nofollow noopener" target="_blank">#recsys</a> <a href="https://zhub.link/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://zhub.link/tags/data_science" class="mention hashtag" rel="nofollow noopener" target="_blank">#data_science</a> <a href="https://zhub.link/tags/lightgcn" class="mention hashtag" rel="nofollow noopener" target="_blank">#lightgcn</a> <a href="https://zhub.link/tags/%D0%B3%D1%80%D0%B0%D1%84%D0%BE%D0%B2%D1%8B%D0%B5_%D0%BD%D0%B5%D0%B9%D1%80%D0%BE%D1%81%D0%B5%D1%82%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#графовые_нейросети</a> <a href="https://zhub.link/tags/%D1%80%D0%B5%D0%BA%D0%BE%D0%BC%D0%B5%D0%BD%D0%B4%D0%B0%D1%82%D0%B5%D0%BB%D1%8C%D0%BD%D1%8B%D0%B5_%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D1%8B" class="mention hashtag" rel="nofollow noopener" target="_blank">#рекомендательные_системы</a> <a href="https://zhub.link/tags/%D1%80%D0%B5%D0%BA%D0%BE%D0%BC%D0%B5%D0%BD%D0%B4%D0%B0%D1%86%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#рекомендации</a> <a href="https://zhub.link/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuralnetworks</a> <a href="https://zhub.link/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://zhub.link/tags/wildberries" class="mention hashtag" rel="nofollow noopener" target="_blank">#wildberries</a>

HabrКак я написал свой первый классификатор эмоцийВсем привет! Немного о себе. Меня зовут Максим, я работаю специалистом по Machine Learning в компании SimbirSoft. Последние два года я углубленно изучал область машинного обучения и компьютерного зрения и сегодня с удовольствием поделюсь с вами опытом разработки личного пет-проекта. В этой статье я расскажу о своем пути от идеи до реализации своего первого классификатора эмоций. Мы обсудим с вами методы, инструменты и техники, которые я применял в процессе создания своего проекта. Анализ данных, выбор модели, обучение и оценка результатов – каждый этап разработки имеет свои особенности и трудности, о чем я с удовольствием поделюсь с вами. Почему меня привлекла именно эта тема? Во-первых, я уже решал аналогичную задачу на коммерческом проекте, которая включала распознавание и идентификацию лиц. Кроме того, меня заинтересовала эта задача тем, что она состоит из двух этапов: сначала детекция лица на изображении, а затем классификация эмоций, которые испытывает человек. Статья будет полезна начинающим разработчикам в области Computer Vision, а также всем, кому интересна тема машинного обучения. Вы узнаете, с какой стороны подходить к решению задач с распознаванием лиц и что можно для этого использовать (подходы, инструменты и технологии). Читать далее 😎<a href="https://habr.com/ru/companies/simbirsoft/articles/810171/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/companies/simbirsoft/articles/810171/</a><a href="https://zhub.link/tags/computer_vision" class="mention hashtag" rel="nofollow noopener" target="_blank">#computer_vision</a> <a href="https://zhub.link/tags/%D1%80%D0%B0%D1%81%D0%BF%D0%BE%D0%B7%D0%BD%D0%B0%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D1%8D%D0%BC%D0%BE%D1%86%D0%B8%D0%B9" class="mention hashtag" rel="nofollow noopener" target="_blank">#распознавание_эмоций</a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#машинное_обучение</a> <a href="https://zhub.link/tags/deep_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#deep_learning</a> <a href="https://zhub.link/tags/yolo" class="mention hashtag" rel="nofollow noopener" target="_blank">#yolo</a> <a href="https://zhub.link/tags/%D0%B0%D0%BD%D0%B0%D0%BB%D0%B8%D0%B7_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#анализ_данных</a> <a href="https://zhub.link/tags/pytorch" class="mention hashtag" rel="nofollow noopener" target="_blank">#pytorch</a> <a href="https://zhub.link/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a>

HabrЧто скрывает под собой скрытое (латентное) пространство?Работа с латентными пространствами Латентное пространство полезно для изучения функций данных и поиска более простых представлений данных для анализа. Как используются латентные пространства в библиотеке eXplain-NNs? Визуализация латентных пространств: Этот метод позволяет отобразить скрытые признаки или паттерны, выученные нейронной сетью, в этих латентных пространствах. Это может быть полезно для понимания, как модель организует данные и какие внутренние представления она использует для принятия решений. Анализ гомологии латентных пространств: Еще один метод, предоставляемый библиотекой eXplain-NNs, это анализ гомологии латентных пространств. Анализ гомологии используется для изучения структуры и связей между этих латентных представлений. Это помогает понять, каким образом информация организована внутри модели и влияет на ее способность принимать решения.<a href="https://habr.com/ru/articles/807405/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/807405/</a><a href="https://zhub.link/tags/encoder" class="mention hashtag" rel="nofollow noopener" target="_blank">#encoder</a> <a href="https://zhub.link/tags/decoder" class="mention hashtag" rel="nofollow noopener" target="_blank">#decoder</a> <a href="https://zhub.link/tags/latent_diffusion" class="mention hashtag" rel="nofollow noopener" target="_blank">#latent_diffusion</a> <a href="https://zhub.link/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#mathematics</a> <a href="https://zhub.link/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuralnetworks</a> <a href="https://zhub.link/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://zhub.link/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuroscience</a> <a href="https://zhub.link/tags/neural" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural</a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://zhub.link/tags/artificial_intelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificial_intelligence</a>

HabrСистема: роевый интеллект, двупалатный разум и оптимизация достижения целейСистема…Как много в этом звуке... Дисклеймер: Статья вызовет больше вопросов, чем ответов и это факт. В ней проясняется концептуальная схема Системы и взаимодействия Ассистентов (нужно придумать другое слово, длинное какое-то). Читайте с осторожностью.<a href="https://habr.com/ru/articles/797405/" rel="nofollow noopener" translate="no" target="_blank">https://habr.com/ru/articles/797405/</a><a href="https://zhub.link/tags/%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#ии</a> <a href="https://zhub.link/tags/%D1%81%D0%B0%D0%BC%D0%BE%D1%80%D0%B0%D0%B7%D0%B2%D0%B8%D1%82%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#саморазвитие</a> <a href="https://zhub.link/tags/%D0%BD%D0%B0%D0%B2%D1%8B%D0%BA%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#навыки</a> <a href="https://zhub.link/tags/%D0%BF%D1%80%D0%B8%D0%B2%D1%8B%D1%87%D0%BA%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#привычки</a> <a href="https://zhub.link/tags/%D1%86%D0%B5%D0%BB%D0%B8" class="mention hashtag" rel="nofollow noopener" target="_blank">#цели</a> <a href="https://zhub.link/tags/%D0%B4%D0%B8%D1%81%D1%86%D0%B8%D0%BF%D0%BB%D0%B8%D0%BD%D0%B0" class="mention hashtag" rel="nofollow noopener" target="_blank">#дисциплина</a> <a href="https://zhub.link/tags/%D0%BE%D0%B1%D1%80%D0%B0%D0%B7%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener" target="_blank">#образование</a> <a href="https://zhub.link/tags/%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D0%BD%D1%8B%D0%B9_%D1%80%D0%BE%D1%81%D1%82" class="mention hashtag" rel="nofollow noopener" target="_blank">#личностный_рост</a> <a href="https://zhub.link/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://zhub.link/tags/%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener" target="_blank">#искусственный_интеллект</a>

Farooq Karimi ZadehThe cool part about my <a href="https://blackrock.city/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#research</a> is that, the model is a 512 instruction program for <a href="https://blackrock.city/tags/FPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#FPU</a>. Not a full blown neural network which requires tons of computations.<a href="https://blackrock.city/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://blackrock.city/tags/NN" class="mention hashtag" rel="nofollow noopener" target="_blank">#NN</a> <a href="https://blackrock.city/tags/ANN" class="mention hashtag" rel="nofollow noopener" target="_blank">#ANN</a> <a href="https://blackrock.city/tags/RNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#RNN</a> <a href="https://blackrock.city/tags/CNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#CNN</a>

nopeBuilding interpretable models: From Bayesian networks to neural networks (2016) Krakovna, Viktoriya Url: <a href="https://dash.harvard.edu/handle/1/33840728" rel="nofollow noopener" translate="no" target="_blank">https://dash.harvard.edu/handle/1/33840728</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a> <a href="https://mastodon.social/tags/bayesian_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian_network</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://mastodon.social/tags/sum_product_networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#sum_product_networks</a>

nopeNeural Networks (1991) : Freeman, James A. Skapura, Dav... isbn: 0201513765 <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/simulated_annealing" class="mention hashtag" rel="nofollow noopener" target="_blank">#simulated_annealing</a> <a href="https://mastodon.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithm</a> <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener" target="_blank">#backpropagation</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeNeural Networks (1991) : Freeman, James A. Skapura, Dav... isbn: 0201513765 <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener" target="_blank">#backpropagation</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/simulated_annealing" class="mention hashtag" rel="nofollow noopener" target="_blank">#simulated_annealing</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithm</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeFusion of Neural Networks, Fuzzy Systems and Genetic Algorithms (2000) : Jain, Lakhmi C. Martin, N.M isbn: 1571690638 <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/genetic_algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#genetic_algorithm</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/fuzzy_logic" class="mention hashtag" rel="nofollow noopener" target="_blank">#fuzzy_logic</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeNeural Networks (1991) : Freeman, James A. Skapura, Dav... isbn: 0201513765 <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener" target="_blank">#backpropagation</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithm</a> <a href="https://mastodon.social/tags/simulated_annealing" class="mention hashtag" rel="nofollow noopener" target="_blank">#simulated_annealing</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeProgramming Neural Networks in Java (2004) : Heaton, J url: <a href="http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Programming+Neural+Networks+in+Java#1" rel="nofollow noopener" translate="no" target="_blank">http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Programming+Neural+Networks+in+Java#1</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/java" class="mention hashtag" rel="nofollow noopener" target="_blank">#java</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeBuilding interpretable models (2016) : Krakovna, Viktoriya url: <a href="https://dash.harvard.edu/handle/1/33840728" rel="nofollow noopener" translate="no" target="_blank">https://dash.harvard.edu/handle/1/33840728</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://mastodon.social/tags/sum_product_networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#sum_product_networks</a> <a href="https://mastodon.social/tags/bayesian_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian_network</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeNeural Networks (1991) : Freeman, James A. Skapura, Dav... isbn: 0201513765 <a href="https://mastodon.social/tags/simulated_annealing" class="mention hashtag" rel="nofollow noopener" target="_blank">#simulated_annealing</a> <a href="https://mastodon.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithm</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/backpropagation" class="mention hashtag" rel="nofollow noopener" target="_blank">#backpropagation</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeUnderstanding intelligence (2001) : Pfeifer, Rolf Scheier, Christi... isbn: 978-0-262-66125-6 <a href="https://mastodon.social/tags/artificial_life" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificial_life</a> <a href="https://mastodon.social/tags/embodiment" class="mention hashtag" rel="nofollow noopener" target="_blank">#embodiment</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/agents" class="mention hashtag" rel="nofollow noopener" target="_blank">#agents</a> <a href="https://mastodon.social/tags/cognitive_science" class="mention hashtag" rel="nofollow noopener" target="_blank">#cognitive_science</a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.social/tags/subsumption" class="mention hashtag" rel="nofollow noopener" target="_blank">#subsumption</a> <a href="https://mastodon.social/tags/braitenberg_vehicles" class="mention hashtag" rel="nofollow noopener" target="_blank">#braitenberg_vehicles</a> <a href="https://mastodon.social/tags/intelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#intelligence</a> <a href="https://mastodon.social/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#memory</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeArtificial Neural Networks in Real-Life Applications (2006) : Rabunal, Juan R. Dorado, Julia... DOI: <a href="https://doi.org/10.4018/978-1-59140-902-1" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.4018/978-1-59140-902-1</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/cooperation" class="mention hashtag" rel="nofollow noopener" target="_blank">#cooperation</a> <a href="https://mastodon.social/tags/civil_engineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#civil_engineering</a> <a href="https://mastodon.social/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#music</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeThe Nature of Code (2012) : Shiffman, Daniel url: <a href="https://natureofcode.com/" rel="nofollow noopener" translate="no" target="_blank">https://natureofcode.com/</a> <a href="https://mastodon.social/tags/education" class="mention hashtag" rel="nofollow noopener" target="_blank">#education</a> <a href="https://mastodon.social/tags/evolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#evolution</a> <a href="https://mastodon.social/tags/text_book" class="mention hashtag" rel="nofollow noopener" target="_blank">#text_book</a> <a href="https://mastodon.social/tags/fractal" class="mention hashtag" rel="nofollow noopener" target="_blank">#fractal</a> <a href="https://mastodon.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#math</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/cellular_automata" class="mention hashtag" rel="nofollow noopener" target="_blank">#cellular_automata</a> <a href="https://mastodon.social/tags/processing" class="mention hashtag" rel="nofollow noopener" target="_blank">#processing</a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#programming</a> <a href="https://mastodon.social/tags/complex_systems" class="mention hashtag" rel="nofollow noopener" target="_blank">#complex_systems</a> <a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#physics</a> <a href="https://mastodon.social/tags/java" class="mention hashtag" rel="nofollow noopener" target="_blank">#java</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeEnemy Within (2020) : Pfau, Johannes Smeddinck, Jan ... DOI: <a href="https://doi.org/10.1145/3313831.3376423" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1145/3313831.3376423</a> <a href="https://mastodon.social/tags/deep_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#deep_learning</a> <a href="https://mastodon.social/tags/dynamic_difficulty" class="mention hashtag" rel="nofollow noopener" target="_blank">#dynamic_difficulty</a> <a href="https://mastodon.social/tags/HCI" class="mention hashtag" rel="nofollow noopener" target="_blank">#HCI</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/MMORPG" class="mention hashtag" rel="nofollow noopener" target="_blank">#MMORPG</a> <a href="https://mastodon.social/tags/player_modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#player_modeling</a> <a href="https://mastodon.social/tags/dynamic_difficulty_adjustment" class="mention hashtag" rel="nofollow noopener" target="_blank">#dynamic_difficulty_adjustment</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

nopeBuilding interpretable models (2016) : Krakovna, Viktoriya url: <a href="https://dash.harvard.edu/handle/1/33840728" rel="nofollow noopener" translate="no" target="_blank">https://dash.harvard.edu/handle/1/33840728</a> <a href="https://mastodon.social/tags/neural_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#neural_network</a> <a href="https://mastodon.social/tags/sum_product_networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#sum_product_networks</a> <a href="https://mastodon.social/tags/bayesian_network" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian_network</a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://mastodon.social/tags/machine_learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machine_learning</a> <a href="https://mastodon.social/tags/my_bibtex" class="mention hashtag" rel="nofollow noopener" target="_blank">#my_bibtex</a>

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