源码包:keras(2.2.4-1)
本源码包构建了以下这些二进制包:
- keras-doc
- CPU/GPU math expression compiler for Python (docs)
- python3-keras
- deep learning framework running on Theano or TensorFlow
其他与 keras 有关的软件包
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- adep: debhelper (>= 11)
- 用于 debian/rules 的帮助程序
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- adep: dh-python
- 用于打包 Python 库和应用程序的 Debian 帮助工具
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- adep: python3-all
- package depending on all supported Python 3 runtime versions
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- adep: python3-setuptools
- Python3 Distutils Enhancements
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- adep: python3-six
- Python 2 and 3 compatibility library (Python 3 interface)
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- adep: python3-yaml
- YAML parser and emitter for Python3
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- adep: python3-numpy
- Fast array facility to the Python 3 language
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- adep: python3-scipy
- scientific tools for Python 3
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- adep: python3-theano
- CPU/GPU math expression compiler for Python 3
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- adep: python3-h5py
- general-purpose Python interface to hdf5 (Python 3)
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- adep: python3-pytest
- Simple, powerful testing in Python3
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- adep: python3-pandas
- data structures for "relational" or "labeled" data - Python 3
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- adep: python3-pil
- Python Imaging Library (Python3)
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- adep: python3-nose
- test discovery and running for Python3 unittest
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- adep: python3-pydot
- Python interface to Graphviz's dot (Python 3)
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- adep: python3-distutils
- Python 3.x 的 distutils 软件包
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- adep: python3-keras-applications (>= 1.0.4)
- popular models and pre-trained weights for the Keras deep learning framework
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- adep: python3-keras-preprocessing (>= 1.0.2)
- data preprocessing module for the Keras deep learning framework
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- adep: markdown
- Text-to-HTML conversion tool
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- adep: mkdocs (>= 1.0.4)
- Static site generator geared towards building project documentation
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- adep: links
- Web browser running in text mode
Download keras
文件 | 大小(单位:kB) | MD5 校验码 |
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keras_2.2.4-1.dsc | 2.3 kB | 49b04be3f0ccb15ef05d008b9c4bb8f4 |
keras_2.2.4.orig.tar.gz | 483.5 kB | e17131b007e85eb2831426e594ebefa0 |
keras_2.2.4-1.debian.tar.xz | 132.2 kB | 77dcd05aeaae1c4263107322994927ad |
- Debian 软件包源码仓库(VCS:Git)
- https://salsa.debian.org/science-team/keras.git
- Debian 软件包源码仓库(可在线浏览)
- https://salsa.debian.org/science-team/keras