KAN Practical Implementation (Kolmogorov–Arnold Networks Algorithm)

AI Researcher · Intermediate ·📄 Research Papers Explained ·1y ago
#kan #Kolmogorov–ArnoldNetworks #mlp #deeplearning #machinelearning #ai In this video, I tried to implement Kolmogorov–Arnold Networks (KAN) Algorithm using imodelsx library. The KAN is an approach in the field of machine learning that is based on the Kolmogorov-Arnold representation theorem from mathematical analysis. This method applies the theorem's insights to build predictive models for complex, high-dimensional datasets. KAN uses the idea that any multivariate function can be decomposed into sums and compositions of univariate functions. -------------------------------------------------------------------------------------------------------------------------------------------------------------- You can access the notebook on KAN implementation of the video from here: https://github.com/manishasirsat/kan-implementation You can watch a video on KAN: Kolmogorov–Arnold Networks Paper Explained from here: https://www.youtube.com/watch?v=AyM9YqU923k Github repository for the code: https://github.com/manishasirsat/rag-llm-demo -------------------------------------------------------------------------------------------------------------------------------------------------------------- Generative AI Playlist: https://www.youtube.com/watch?v=ID04YmgzM38&list=PLzkBTicHqQFmdF62zHHramnBRZl6zUvmR -------------------------------------------------------------------------------------------------------------------------------------------------------------- Connect with me on social media platforms: Website: https://ai-researchstudies.com/ Google scholar: https://scholar.google.com/citations?user=kM4QN-8AAAAJ&hl=en LinkedIn: https://www.linkedin.com/in/manishasirsat GitHub:https://github.com/manishasirsat Quora: https://machinelearningresearch.quora.com/ Blogger: https://manisha-sirsat.blogspot.com/ Twitter: https://twitter.com/ManishaSirsat ⏱️ Timestamps 0:00 Intro 0:33 Problem statement 1:40 'imodelsx' python library 2:07 Agenda 3:35 Data processing 5:10 KAN implemen
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Chapters (6)

Intro
0:33 Problem statement
1:40 'imodelsx' python library
2:07 Agenda
3:35 Data processing
5:10 KAN implemen
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