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My problem:
I have a program which implements your capsule network to classify images. The images are divided into three categories so it is a three way classification task. I use data generators to …
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**Describe the feature and the current behavior/state.**
There are many new deep learning models that are not yet part of the `tf.keras.application`. So, it would be great if there is `tfa.models` …
innat updated
3 years ago
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Traceback (most recent call last):
File "./main.py", line 281, in
main(arguments)
File "./main.py", line 95, in main
model_list = create_model(args=args, input_shape=net_input_shape, …
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I am getting an error when running `model_test.evaluate(mnist_dataset.X_test, mnist_dataset.y_test)` in the dynamic visualisations notebook. The first time I installed the requirements there were a co…
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### Brief Summary:
Describe the what, why, and how of your content idea in 2-5 sentences.
A CapsNet consists of capsules instead of neurons in its architecture. Unlike neurons, that outputs scala…
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File "cnbs.py", line 102, in
model, eval_model, manipulate_model = CapsNet(input_shape=train_tensors.shape[1:],
File "cnbs.py", line 71, in CapsNet
digitcaps = CapsuleLayer(num_capsule…
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Hello,
First, thank you for your implementation of SegCaps.
I try to train on a small dataset consisting of 100 pairs of greyscaled/ 4 levels groundtruth ("masks") images:
:
File "capsulenet.py", line 310, in
routings=args.routings,
File "capsulenet.py", line 60, in CapsNet
)(primarycaps)
File "/home/Anselmoo/.local/l…
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Hi,
1. Downloaded the images from https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/37178474737 using batch_download_zips.py
2. As instructed in https://github.com/ShahinSHH/COVID-CAPS/tree/maste…