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### Feature description
Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regr…
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## materials
1. Introduction: Artificial Intelligence Systems, Intelligent agents
2. Basic Theory of Probabilistic Reasoning
3. Fuzzy Logic 1: Definition of fuzzy logic, getting to know the differe…
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Thanks for the tool. I found some render problems in d2l ipynb and pdf that might be related to this repo.
Screenshot of d2l-en/xxx/chapter_multilayer-perceptrons/mlp.ipynb:
. It also contains instructions to run notebooks on Sagemaker http://d2l.a…
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### 🚀 The feature, motivation and pitch
Introducing a layer with second order (quadric) hypersurface separability which in turn reduces model size significantly at the same performance on a high leve…
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[e3nn](https://www.connectedpapers.com/main/c7215ab4589ce3590910c597e86b1aba8e460d49/e3nn%3A-Euclidean-Neural-Networks/graph)
```mermaid
flowchart TD;
A[Freeman,1991\nThe design and use of stee…
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[Reading Notes](https://www.notion.so/Computational-Performance-Predictions-for-Deep-Neural-Network-Training-A-Runtime-Based-Approach-2925a41c8a554e3ea2e034948e600910)
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Here is the list of tutorials that were removed from the website for not meeting the quality bar. These tutorials should be improved, reviewed and committed.
- [How do I work with MXNet within a Ma…
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add to the perceptron note
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Crop Pest and Disease Detection
:red_circle: **Aim** : The aim of this project is to make a deep learni…