keras-resnet3d | volumetric data , including a vanilla resnet | Machine Learning library

by JihongJu Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | keras-resnet3d Summary

keras-resnet3d is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. keras-resnet3d has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

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Support

keras-resnet3d has a low active ecosystem.

It has 103 star(s) with 57 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 4 have been closed. On average issues are closed in 360 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of keras-resnet3d is current.

Quality

keras-resnet3d has no bugs reported.

Security

keras-resnet3d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

keras-resnet3d is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

keras-resnet3d releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed keras-resnet3d and discovered the below as its top functions. This is intended to give you an instant insight into keras-resnet3d implemented functionality, and help decide if they suit your requirements.

Build a ResNet - 18 model
Build a convolutional network
2D convolution function
Set the default axes
Residual block function
Get the block with the given identifier
Bottleneck bottleneck function
Calculate a 2D product of input and residuals
Creates a convolutional convolutional convolution layer
Batch normalization
Basic block function

Get all kandi verified functions for this library.

keras-resnet3d Key Features

No Key Features are available at this moment for keras-resnet3d.

keras-resnet3d Examples and Code Snippets

No Code Snippets are available at this moment for keras-resnet3d.

Community Discussions

Trending Discussions on keras-resnet3d

“TypeError: unhashable type: 'Dimension'” with BatchNormalization(axis=CHANNEL_AXIS)(input)

QUESTION

“TypeError: unhashable type: 'Dimension'” with BatchNormalization(axis=CHANNEL_AXIS)(input)

Asked 2020-Sep-14 at 10:57

I have the following ResNet 3D architecture that I got from github. It is the Keras implementation of R3D. This architecture is intended to train models on video classification

...

ANSWER

Answered 2020-Sep-14 at 10:57

To solve the problem, we need to cast every shape access to int.

Example : residual.shape[CHANNEL_AXIS] needs to be rewritten int(residual.shape[CHANNEL_AXIS])

The new version of the code is as follows :

Source https://stackoverflow.com/questions/63845434

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install keras-resnet3d

keras, tensorflow/theano and their corresponding dependencies.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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