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Neural networks: Difference between revisions
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Adding video link to the APL CNN paper
(Created page with "'''Neural networks''' ('''NNs'''), or more precisely '''artificial neural networks''' ('''ANNs'''), are computing systems vaguely inspired by the biological neural networks of...") |
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* Rodrigo Girão Serrão is prepared to hold a workshop in English or Portuguese called [https://mathspp.com/workshops/learn-apl-with-neural-nets Learn APL with neural networks]/[https://mathspp.com/pt/workshops/learn-apl-with-neural-nets Aprende APL com redes neuronais] and is publishing an English-language [https://www.youtube.com/playlist?list=PLgTqamKi1MS3p-O0QAgjv5vt4NY5OgpiM a video series] with the same content, designed so those with APL or NN knowledge can skip the parts that teach the basics of these. | * Rodrigo Girão Serrão is prepared to hold a workshop in English or Portuguese called [https://mathspp.com/workshops/learn-apl-with-neural-nets Learn APL with neural networks]/[https://mathspp.com/pt/workshops/learn-apl-with-neural-nets Aprende APL com redes neuronais] and is publishing an English-language [https://www.youtube.com/playlist?list=PLgTqamKi1MS3p-O0QAgjv5vt4NY5OgpiM a video series] with the same content, designed so those with APL or NN knowledge can skip the parts that teach the basics of these. | ||
* [https://dl.acm.org/doi/10.1145/3315454.3329960 Convolutional neural networks in APL] is a paper that shows how a Convolutional Neural Network (CNN) can be implemented in APL. The code is available in [https://github.com/ashinkarov/cnn-in-apl a GitHub repository]. | * [https://dl.acm.org/doi/10.1145/3315454.3329960 Convolutional neural networks in APL] is a paper that shows how a Convolutional Neural Network (CNN) can be implemented in APL. The code is available in [https://github.com/ashinkarov/cnn-in-apl a GitHub repository]. A video of the presentation of this conference paper is available [https://www.youtube.com/watch?v=9vIZ7d3-GBw&t=773s here]. | ||
* Mike Powell's [[Media:3_Machine_Learning.pdf|Machine Learning]] is a tutorial that explores pattern recognition for handwritten digits, focusing It focuses on deriving the analytic gradients and establishing them as part of the back propagation algorithm. | * Mike Powell's [[Media:3_Machine_Learning.pdf|Machine Learning]] is a tutorial that explores pattern recognition for handwritten digits, focusing It focuses on deriving the analytic gradients and establishing them as part of the back propagation algorithm. | ||