kandi X-RAY | keras Summary
kandi X-RAY | keras Summary
keras is a Python library. keras has no bugs, it has no vulnerabilities, it has build file available and it has low support. However keras has a Non-SPDX License. You can download it from GitHub.
keras
keras
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Quality
Security
License
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Support
keras has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
keras has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of keras is current.
Quality
keras has no bugs reported.
Security
keras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
keras has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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keras 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.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of keras
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of keras
keras Key Features
No Key Features are available at this moment for keras.
keras Examples and Code Snippets
No Code Snippets are available at this moment for keras.
Community Discussions
No Community Discussions are available at this moment for keras.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install keras
Keras uses the following dependencies:.
numpy, scipy
pyyaml
HDF5 and h5py (optional, required if you use model saving/loading functions)
Optional but recommended if you use CNNs: cuDNN.
TensorFlow See installation instructions.
Theano See installation instructions.
numpy, scipy
pyyaml
HDF5 and h5py (optional, required if you use model saving/loading functions)
Optional but recommended if you use CNNs: cuDNN.
TensorFlow See installation instructions.
Theano See installation instructions.
Support
You can ask questions and join the development discussion:. You can also post bug reports and feature requests (only) in Github issues. Make sure to read our guidelines first.
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