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Hi all! In ml5.js studio, I'm working on a project called **"Interactive Neural Networks"** which aims at teaching higher-level concepts as well as fundamental mathematical operations of neural networ…
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According to the README, after running `python compress_graph.py`, I am receiving a "bus error", and I isolated it down to the following line in compress_graph.py file:
![image](https://github.com/m…
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I'm a student and I am highly interested in your neural network model.
I'm currently interested in validating the performance of your neural network model. However, training the model from scratch t…
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Hi, thanks for your great work. I especially appreciate your intuitive [blog post](https://www.cs.utexas.edu/~lqiang/rectflow/html/intro.html). However, I just want to let you know that there's a tiny…
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### Project to be claimed
`neural_network`: https://pypi.org/project/neural_network
### Your PyPI username
`anhquoc`: https://pypi.org/user/anhquoc
### Reasons for the request
I want to upload my…
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### Title of the resource
Creating Deep Convolutional Neural Networks for Image Classification
### Resource type
External Resource
### Authors, editors and contributors
Nabeel Siddiqui, Scott Kle…
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Hello author, what trick did you use when training the neural network? In the forest scene, I used the train.py file directly, but the trained model could never achieve the same effect as your model. …
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I will add details about Neural network regression ML algorithm in Python and explain it with code snippets, also try to generalized it when to use it or not.
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I have opened a GraphKan (https://github.com/WillHua127/GraphKAN), a Graph Neural Network version of Kolmogorov Arnold Networks (GraphKAN). Feel free to discuss and explore!!!