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- What is backpropagation really doing? | Chapter 3, Deep learning - YouTube https://www.youtube.com/watch?v=Ilg3gGewQ5U 203 comments
- Neural Networks, Manifolds, and Topology -- colah's blog https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ 124 comments
- But what is a neural network? | Chapter 1, Deep learning - YouTube https://www.youtube.com/watch?t=279s&v=aircAruvnKk 107 comments
- Vectors | Chapter 1, Essence of linear algebra - YouTube https://www.youtube.com/watch?index=2&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&v=fNk_zzaMoSs 86 comments
- StackingClassifier: Simple stacking - mlxtend https://rasbt.github.io/mlxtend/user_guide/classifier/StackingClassifier/ 74 comments
- Gradient descent, how neural networks learn | Chapter 2, Deep learning - YouTube https://youtu.be/IHZwWFHWa-w 61 comments
- GitHub - Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding https://github.com/Avik-Jain/100-Days-Of-ML-Code 35 comments
- Cracking eAadhar password in 2 seconds with Maths | by Somdev Sangwan | Medium https://blog.usejournal.com/cracking-eaadhar-password-in-3-seconds-with-maths-9533c8e8f9c2 13 comments
- GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier https://github.com/marcotcr/lime 12 comments
- GitHub - tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI https://github.com/tqdm/tqdm 12 comments
- http://u.cs.biu.ac.il/~yogo/nnlp.pdf 8 comments
- Natural Language Processing is Fun! | by Adam Geitgey | Medium https://medium.com/@ageitgey/natural-language-processing-is-fun-9a0bff37854e 4 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr 1 comment
- Text Classification is Your New Secret Weapon | by Adam Geitgey | Medium https://medium.com/@ageitgey/text-classification-is-your-new-secret-weapon-7ca4fad15788 1 comment
- Backpropagation calculus | Chapter 4, Deep learning - YouTube https://www.youtube.com/watch?v=tIeHLnjs5U8 0 comments
- About Feature Scaling and Normalization http://sebastianraschka.com/Articles/2014_about_feature_scaling.html 0 comments
- Docker Hub https://hub.docker.com/r/prakhar21/ml-utilities/ 0 comments
- Local Interpretable Model-Agnostic Explanations (LIME): An Introduction â OâReilly https://www.oreilly.com/learning/introduction-to-local-interpretable-model-agnostic-explanations-lime 0 comments
- NumPy Tutorial: Data Analysis with Python – Dataquest https://www.dataquest.io/blog/numpy-tutorial-python/ 0 comments
- Implementing a Weighted Majority Rule Ensemble Classifier http://sebastianraschka.com/Articles/2014_ensemble_classifier.html 0 comments