KAN Practical Implementation (Kolmogorov-Arnold Networks Algorithm)

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  • Опубліковано 8 чер 2024
  • #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.
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    You can access the notebook on KAN implementation of the video from here: github.com/manishasirsat/kan-...
    You can watch a video on KAN: Kolmogorov-Arnold Networks Paper Explained from here: • KAN: Kolmogorov-Arnold...
    Github repository for the code: github.com/manishasirsat/rag-...
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    Generative AI Playlist: • The Era of 1-bit LLMs:...
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    Connect with me on social media platforms:
    Website: ai-researchstudies.com/
    Google scholar: scholar.google.com/citations?...
    LinkedIn: / manishasirsat
    GitHub:github.com/manishasirsat
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    ⏱️ Timestamps
    0:00 Intro
    0:33 Problem statement
    1:40 'imodelsx' python library
    2:07 Agenda
    3:35 Data processing
    5:10 KAN implementation without hyper-parameter tuning
    6:35 KAN implementation with hyper-parameter tuning
    9:00 A KAN model with the best accuracy on heart disease classification

КОМЕНТАРІ • 15

  • @radicalengineer2331
    @radicalengineer2331 13 днів тому +1

    Never thought an Indian will pick up kan and explain as the youtube is flooded with resnet and titanic ds

  • @user-fh7tg3gf5p
    @user-fh7tg3gf5p 18 днів тому +1

    I will definitely try to learn something from her. Even if I dont understand anything.

  • @alexpandian7402
    @alexpandian7402 20 днів тому +1

    You are doing great mam! Keep going on

  • @Gowtham25
    @Gowtham25 19 днів тому +1

    Very useful, and keep posting the videos. Definitely, one day you'll achieve more views!@

  • @user-jo1ex6ud9e
    @user-jo1ex6ud9e 13 днів тому

    Could you please explain hyperparametr fine tuning in details to achieve best results.

  • @BhaskarJit-wc9ib
    @BhaskarJit-wc9ib 19 днів тому

    Best explanation on KAN.Please make a comparison video with MLP

  • @marcoaureliocostadasilva7517
    @marcoaureliocostadasilva7517 9 днів тому +1

    🇧🇷

  • @Page216
    @Page216 20 днів тому

    😍

  • @harshgupta2151
    @harshgupta2151 19 днів тому

    Can I get your mail?

    • @airesearcher24
      @airesearcher24  18 днів тому

      Here it goes: airesearchstudies@gmail.com