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Detection of Lung cancer utilizing Convolutional Neural Networks (CNN) with strategically designed convolutional layers, max pooling layers ,dense Layer and fully connected layers in Deep Learning.
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- Implement sample neural networks:
- [ ] Dense-Small
- [ ] Dense-Medium
- [ ] Dense-Large
- [ ] CNN-Small
- [ ] CNN-Medium
- [ ] CNN-Large
- These networks feature fixed arcitectures
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### Issue Type
Bug
### Source
binary
### Keras Version
2.16.0
### Custom Code
No
### OS Platform and Distribution
Linux Ubuntu 20.04
### Python version
3.10
### GPU model and memory
_No r…
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## 🚀 Feature
We would like the Opacus DPSGD to work with the case where the neural network input is a torch sparse coo tensor.
## Motivation
Similar to issue #350 , there are cases whe…
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- Forked https://github.com/liuchangjohn/sparse-evolutionary-artificial-neural-networks
- Install `keras-contrib` from github
- Run `sparse-evolutionary-artificial-neural-networks/SET-MLP-Keras-Weig…
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run mwe.jl in the uploaded folder.
[enzymemwe.zip](https://github.com/user-attachments/files/17582330/enzymemwe.zip)
or below
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Hi, I'm recentrly approaching to quaternion neural networks and I found this fantastic repository which I am exploiting to implement an academic project. I'm developing a convolutional neural network …
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FFNs have been very successful for Google on dense volumetric EM data. Wonder if it could be adopted to brightfield.
- [ ] [Their demo inference notebook](https://github.com/google/ffn/blob/master/…
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### Description
This excerpt, as well as others in the article Mamba: Linear-Time Sequence Modeling with Selective State Spaces, have rendering errors
### (Optional:) Please add any files, screensho…
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As the name suggests, the skip connections in deep architecture bypass some of the neural network layers and feed the output of one layer as the input to the following levels. It is a standard module …