Comments (2)
from cnn-explainer.
Hello @BobBogart,
I am happy to hear that you like CNN Explainer!
To use CNN Explainer with your own model and dataset, you can check out these related issues: #2, #8, #15. Some functions you want to look into are listed in this comment.
If you want to train Tiny-VGG, the model used in CNN Explainer, on the sword dataset, you can check out issue #14. They have successfully trained Tiny-VGG on their plant dataset and visualize the CNN with CNN Explainer. Since 200 classes are a lot, perhaps you can try to choose 10 most distinct classes as a first step. Later you can modify the CNN Explainer UI code to have more output neurons (you can keep the number of neurons in hidden layers as 10).
I will close the issues for now. Feel free to reach out if you need further help :)
from cnn-explainer.
Related Issues (20)
- run with static ip HOT 1
- run error HOT 2
- ReLu function max(0,a) gives 0 HOT 3
- detail view problem HOT 1
- detail view not work with new added convolution nodes HOT 6
- Update the number of layer HOT 1
- question about changing parameter 'height' HOT 1
- error in npm run dev HOT 1
- vue中无法运行 HOT 2
- 更换图片重新训练后却没有变化 HOT 3
- Why is the page empty HOT 2
- How can i change the input_image_size ? HOT 5
- How we can explain neuron if we do use cnn? HOT 1
- Would be cool to have an explainer for an object detection pipeline as well HOT 1
- The explainer won't show up in the browser HOT 4
- HTTP ERROR 403 HOT 5
- [Feature] Shipping in a docker container HOT 1
- my interface is also blank HOT 4
- a suggestion for Deployment on server HOT 1
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from cnn-explainer.