Keras is a high-level neural networks API, written in Python. Keras-MXNet is capable of running on top of high performance, scalable Apache MXNet deep learning engine.
Use Keras-MXNet if you need a deep learning library that:
Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
Supports both convolutional networks and recurrent networks, as well as combinations of the two.
Runs seamlessly on CPU, one GPU and multi-GPU.
Read the Keras documentation at: https://keras.io/
Read the Keras-MXNet documentation at: https://github.com/awslabs/keras-apache-mxnet/tree/master/docs/mxnet_backend
For a detailed overview of what makes Keras special, see: https://keras.io/why-use-keras/ Keras is compatible with Python 2.7-3.6 and is distributed under the MIT liense.
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Release files for keras-mxnet 2.2.4.3
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| File | Interpreter | ABI | Platform | Actions Reset |
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| keras_mxnet-2.2.4.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for keras_mxnet-2.2.4.3-py2.py3-none-any.whl |
Release files / keras_mxnet-2.2.4.3-py2.py3-none-any.whl
| Download URL | keras_mxnet-2.2.4.3-py2.py3-none-any.whl |
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| Size | 373.9 kB |
| Tags | Python 2 Python 3 |
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