Published April 9, 2023
| Version 1.0.0
Dataset
Open
ANNs pre-trained on Retinal Waves
Authors/Creators
- 1. Friedrich-Alexander-Universität Erlangen-Nürnberg
Description
Different Artificial Neural Networks (saved weights), all pre-trained either on rwave-1024 or rwave-4096 datasets; some fine-tuned on CIFAR10/100.
Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development - see https://github.com/BennyCa/ReWaRD for filter visualization and further fine-tuning possibilities
Pre-training and fine-tuning was conducted using the codebase https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch
Files
Files
(3.6 GB)
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234.8 MB | Download |
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234.8 MB | Download |
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234.8 MB | Download |
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94.4 MB | Download |
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499.9 MB | Download |
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249.9 MB | Download |
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249.9 MB | Download |
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174.7 MB | Download |
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102.7 MB | Download |
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255.6 MB | Download |
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md5:f31f5d8a0968d699c589fa5f09b3b82d
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127.9 MB | Download |