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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]. A video of the presentation of this conference paper is available [https://www.youtube.com/watch?v=9vIZ7d3-GBw | * [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 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. | ||