MNIST Handwritten Digit Classification Using MLP in Scikit-Learn – Deep Learning Without TensorFlow
#machinelearning #datascience #python #aiwithnoor
English Version Playlist: https://www.youtube.com/playlist?list=PLZz0i6latTAwj5ncBzHVaIqcSC1AeeETS
Hindi/Urdu Version Playlist: https://www.youtube.com/playlist?list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0
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Code, Resources:
https://github.com/611noorsaeed/Scikit-Learn-Tutorials-English/tree/master
Notebook:
https://github.com/611noorsaeed/Scikit-Learn-Tutorials-English/blob/master/lec%2021%2C%20MNIST%20Image%20Classification%20Using%20MLP.ipynb
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Subscribe My channels:
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Видео MNIST Handwritten Digit Classification Using MLP in Scikit-Learn – Deep Learning Without TensorFlow канала AI with Noor English
English Version Playlist: https://www.youtube.com/playlist?list=PLZz0i6latTAwj5ncBzHVaIqcSC1AeeETS
Hindi/Urdu Version Playlist: https://www.youtube.com/playlist?list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0
---------------------------------------
Subscribe My channels:
AI With Noor (Urdu/Hindi) https://youtube.com/@611aiwithnoor?si=u6bbtkO1-Fb0-5ym
AI With Noor (English) https://www.youtube.com/channel/UCHVzjZ6DStKuogttZ1jWouA
---------------------------------------
Code, Resources:
https://github.com/611noorsaeed/Scikit-Learn-Tutorials-English/tree/master
Notebook:
https://github.com/611noorsaeed/Scikit-Learn-Tutorials-English/blob/master/lec%2021%2C%20MNIST%20Image%20Classification%20Using%20MLP.ipynb
--------------------------------------
Subscribe My channels:
AI With Noor (Urdu/Hindi) https://youtube.com/@611aiwithnoor?si=u6bbtkO1-Fb0-5ym
AI With Noor (English) https://www.youtube.com/channel/UCHVzjZ6DStKuogttZ1jWouA
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My Accounts:
Facebook: https://web.facebook.com/dailyverbs.wordspresentation
GitHub: https://github.com/611noorsaeed
Linkdin:https://www.linkedin.com/in/ai-with-noor-654a23263/
Kaggle: https://www.kaggle.com/noorsaeed
Видео MNIST Handwritten Digit Classification Using MLP in Scikit-Learn – Deep Learning Without TensorFlow канала AI with Noor English
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2 мая 2025 г. 6:37:36
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