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Sorry to bother you! I want to ask you that do you know how to write 3D convolution autoencoder?
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Hi, thanks for your code. I was wondering how can I use the predict script with my own dataset like the "3D Convolutional Neural Networks for Remote Pulse Rate Measurement and Mapping from Facial Vide…
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## **GitHub Issue Form**
## **Here's why we have that policy:**
Keras developers respond to issues. We want to focus on work that benefits the whole community, e.g., fixing bugs and adding featu…
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I noticed some subtle differences in the implementation of your UNet and the one in this repo: https://github.com/johschmidt42/PyTorch-2D-3D-UNet-Tutorial.
Basically, the batch normalization is pe…
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## Description
Given the presence of 'tensors' everwhere, it would be helpful to have an nd montage function for handling batches of 3D images or weights from convolutional networks. Is there more ge…
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Dear authors,
Interesting work. I also think point clouds & 3d geometries must be learnt in order to achieve the next tier of performance for protein property prediction (be it binding affinity or …
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Dear Authors,
I recently read your paper titled "Efficient 3D-Aware Image Generation with Pose-Conditioned Convolutional Networks" and found it to be quite insightful. Your method of distilling 3D …
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3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …
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Hello,
Your notes are very interesting, I am also starting into the deep learning world. I wanted to ask you, if you successfully ran the code provided at **ehosseiniasl/3d-convolutional-network**…
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Tensorflow 1.1 installs an runs fine on raspberry pi - thank you!
However. r1.1 does not have some of the useful functions and feature needed for 3d convolutional networks e.g Conv3DTranspose
Has t…