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keras和tensorflow的关系
2018-11-07 13:59:31TensorFlow是最著名的用于深度学习生产环境的框架。它有一个非常大非常棒的社区。然而,TensorFlow的使用不那么简单...另一方面,Keras是在TensorFlow基础上构建的高层API,比TF(TensorFlow的缩写)要易用很多。 ...TensorFlow是最著名的用于深度学习生产环境的框架。它有一个非常大非常棒的社区。然而,TensorFlow的使用不那么简单。另一方面,Keras是在TensorFlow基础上构建的高层API,比TF(TensorFlow的缩写)要易用很多。
Keras的底层库使用Theano或TensorFlow,这两个库也称为Keras的后端。无论是Theano还是TensorFlow,都是一个“符号式”的库。
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Keras和TensorFlow的关系和区别
2017-10-30 09:53:12TensorFlow和theano...Keras其实就是TensorFlow和Keras的接口(Keras作为前端,TensorFlow或theano作为后端),它也很灵活,且比较容易学 Keras的作者François Chollet在谷歌工作,所以Keras可能会变成TensorFlow官TensorFlow和theano以及Keras都是深度学习框架,TensorFlow和theano比较灵活,也比较难学,它们其实就是一个微分器
Keras其实就是TensorFlow和Keras的接口(Keras作为前端,TensorFlow或theano作为后端),它也很灵活,且比较容易学。可以把keras看作为tensorflow封装后的一个API。
Keras的作者François Chollet在谷歌工作,目前Keras好像已经变成TensorFlow官方的API。
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keras和tensorflow的版本对应关系
2020-08-14 18:34:25keras和tensorflow的版本对应关系 版本问题 keras和tensorflow的版本对应关系 keras和tensorflow的版本对应关系,可参考: @https://docs.floydhub.com/guides/environments/ Framework Env name (--env ...版本问题
keras和tensorflow的版本对应关系
keras和tensorflow的版本对应关系,可参考:
Framework Env name (--env parameter) Description Docker Image Packages and Nvidia Settings TensorFlow 2.2 tensorflow-2.2 TensorFlow 2.2.0 + Keras 2.3.1 on Python 3.7. floydhub/tensorflow TensorFlow-2.2 TensorFlow 2.1 tensorflow-2.1 TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6. floydhub/tensorflow TensorFlow-2.1 TensorFlow 2.0 tensorflow-2.0 TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6. floydhub/tensorflow TensorFlow-2.0 TensorFlow 1.15 tensorflow-1.15 TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6. floydhub/tensorflow TensorFlow-1.15 TensorFlow 1.14 tensorflow-1.14 TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6. floydhub/tensorflow TensorFlow-1.14 TensorFlow 1.13 tensorflow-1.13 TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.13 TensorFlow 1.12 tensorflow-1.12 TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.12 tensorflow-1.12:py2 TensorFlow 1.12.0 + Keras 2.2.4 on Python 2. floydhub/tensorflow TensorFlow 1.11 tensorflow-1.11 TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.11 tensorflow-1.11:py2 TensorFlow 1.11.0 + Keras 2.2.4 on Python 2. floydhub/tensorflow TensorFlow 1.10 tensorflow-1.10 TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6. floydhub/tensorflow TensorFlow-1.10 tensorflow-1.10:py2 TensorFlow 1.10.0 + Keras 2.2.0 on Python 2. floydhub/tensorflow TensorFlow 1.9 tensorflow-1.9 TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6. floydhub/tensorflow TensorFlow-1.9 tensorflow-1.9:py2 TensorFlow 1.9.0 + Keras 2.2.0 on Python 2. floydhub/tensorflow TensorFlow 1.8 tensorflow-1.8 TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.8 tensorflow-1.8:py2 TensorFlow 1.8.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.7 tensorflow-1.7 TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.7 tensorflow-1.7:py2 TensorFlow 1.7.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.5 tensorflow-1.5 TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.5 tensorflow-1.5:py2 TensorFlow 1.5.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.4 tensorflow-1.4 TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6. floydhub/tensorflow tensorflow-1.4:py2 TensorFlow 1.4.0 + Keras 2.0.8 on Python 2. floydhub/tensorflow TensorFlow 1.3 tensorflow-1.3 TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6. floydhub/tensorflow tensorflow-1.3:py2 TensorFlow 1.3.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.2 tensorflow-1.2 TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow-1.2:py2 TensorFlow 1.2.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.1 tensorflow TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow:py2 TensorFlow 1.1.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.0 tensorflow-1.0 TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow-1.0:py2 TensorFlow 1.0.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 0.12 tensorflow-0.12 TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5. floydhub/tensorflow tensorflow-0.12:py2 TensorFlow 0.12.1 + Keras 1.2.2 on Python 2. floydhub/tensorflow PyTorch 1.5 pytorch-1.5 PyTorch 1.5.0 + fastai 1.0.61 on Python 3.7. floydhub/pytorch PyTorch-1.5 PyTorch 1.4 pytorch-1.4 PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6. floydhub/pytorch PyTorch-1.4 PyTorch 1.3 pytorch-1.3 PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6. floydhub/pytorch PyTorch-1.3 PyTorch 1.2 pytorch-1.2 PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6. floydhub/pytorch PyTorch-1.2 PyTorch 1.1 pytorch-1.1 PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6. floydhub/pytorch PyTorch-1.1 PyTorch 1.0 pytorch-1.0 PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6. floydhub/pytorch PyTorch-1.0 pytorch-1.0:py2 PyTorch 1.0.0 on Python 2. floydhub/pytorch PyTorch 0.4 pytorch-0.4 PyTorch 0.4.1 on Python 3.6. floydhub/pytorch PyTorch-0.4 pytorch-0.4:py2 PyTorch 0.4.1 on Python 2. floydhub/pytorch PyTorch 0.3 pytorch-0.3 PyTorch 0.3.1 on Python 3.6. floydhub/pytorch PyTorch-0.3 pytorch-0.3:py2 PyTorch 0.3.1 on Python 2. floydhub/pytorch PyTorch 0.2 pytorch-0.2 PyTorch 0.2.0 on Python 3.5 floydhub/pytorch pytorch-0.2:py2 PyTorch 0.2.0 on Python 2. floydhub/pytorch PyTorch 0.1 pytorch-0.1 PyTorch 0.1.12 on Python 3. floydhub/pytorch pytorch-0.1:py2 PyTorch 0.1.12 on Python 2. floydhub/pytorch Theano 0.9 theano-0.9 Theano rel-0.8.2 + Keras 2.0.3 on Python3.5. floydhub/theano theano-0.9:py2 Theano rel-0.8.2 + Keras 2.0.3 on Python2. floydhub/theano Caffe caffe Caffe rc4 on Python3.5. floydhub/caffe caffe:py2 Caffe rc4 on Python2. floydhub/caffe Torch torch Torch 7 with Python 3 env. floydhub/torch torch:py2 Torch 7 with Python 2 env. floydhub/torch Chainer 1.23 chainer-1.23 Chainer 1.23.0 on Python 3. floydhub/chainer chainer-1.23:py2 Chainer 1.23.0 on Python 2. floydhub/chainer Chainer 2.0 chainer-2.0 Chainer 1.23.0 on Python 3. floydhub/chainer chainer-2.0:py2 Chainer 1.23.0 on Python 2. floydhub/chainer MxNet 1.0 mxnet MxNet 1.0.0 on Python 3.6. floydhub/mxnet mxnet:py2 MxNet 1.0.0 on Python 2. floydhub/mxnet -
【记录】keras和tensorflow的版本对应关系
2020-01-09 19:49:28keras和tensorflow的版本对应关系 keras和tensorflow的版本对应关系,可参考: @https://docs.floydhub.com/guides/environments/ Framework Env name (--env parameter) Description Docker Image ...版本问题:keras和tensorflow的版本对应关系
Framework Env name (--env parameter) Description Docker Image Packages and Nvidia Settings TensorFlow 1.14 tensorflow-1.14 TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6. floydhub/tensorflow TensorFlow-1.14 TensorFlow 1.13 tensorflow-1.13 TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.13 TensorFlow 1.12 tensorflow-1.12 TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.12 tensorflow-1.12:py2 TensorFlow 1.12.0 + Keras 2.2.4 on Python 2. floydhub/tensorflow TensorFlow 1.11 tensorflow-1.11 TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6. floydhub/tensorflow TensorFlow-1.11 tensorflow-1.11:py2 TensorFlow 1.11.0 + Keras 2.2.4 on Python 2. floydhub/tensorflow TensorFlow 1.10 tensorflow-1.10 TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6. floydhub/tensorflow TensorFlow-1.10 tensorflow-1.10:py2 TensorFlow 1.10.0 + Keras 2.2.0 on Python 2. floydhub/tensorflow TensorFlow 1.9 tensorflow-1.9 TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6. floydhub/tensorflow TensorFlow-1.9 tensorflow-1.9:py2 TensorFlow 1.9.0 + Keras 2.2.0 on Python 2. floydhub/tensorflow TensorFlow 1.8 tensorflow-1.8 TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.8 tensorflow-1.8:py2 TensorFlow 1.8.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.7 tensorflow-1.7 TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.7 tensorflow-1.7:py2 TensorFlow 1.7.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.5 tensorflow-1.5 TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6. floydhub/tensorflow TensorFlow-1.5 tensorflow-1.5:py2 TensorFlow 1.5.0 + Keras 2.1.6 on Python 2. floydhub/tensorflow TensorFlow 1.4 tensorflow-1.4 TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6. floydhub/tensorflow tensorflow-1.4:py2 TensorFlow 1.4.0 + Keras 2.0.8 on Python 2. floydhub/tensorflow TensorFlow 1.3 tensorflow-1.3 TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6. floydhub/tensorflow tensorflow-1.3:py2 TensorFlow 1.3.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.2 tensorflow-1.2 TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow-1.2:py2 TensorFlow 1.2.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.1 tensorflow TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow:py2 TensorFlow 1.1.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 1.0 tensorflow-1.0 TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5. floydhub/tensorflow tensorflow-1.0:py2 TensorFlow 1.0.0 + Keras 2.0.6 on Python 2. floydhub/tensorflow TensorFlow 0.12 tensorflow-0.12 TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5. floydhub/tensorflow tensorflow-0.12:py2 TensorFlow 0.12.1 + Keras 1.2.2 on Python 2. floydhub/tensorflow PyTorch 1.1 pytorch-1.1 PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6. floydhub/pytorch PyTorch-1.1 PyTorch 1.0 pytorch-1.0 PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6. floydhub/pytorch PyTorch-1.0 pytorch-1.0:py2 PyTorch 1.0.0 on Python 2. floydhub/pytorch PyTorch 0.4 pytorch-0.4 PyTorch 0.4.1 on Python 3.6. floydhub/pytorch PyTorch-0.4 pytorch-0.4:py2 PyTorch 0.4.1 on Python 2. floydhub/pytorch PyTorch 0.3 pytorch-0.3 PyTorch 0.3.1 on Python 3.6. floydhub/pytorch PyTorch-0.3 pytorch-0.3:py2 PyTorch 0.3.1 on Python 2. floydhub/pytorch PyTorch 0.2 pytorch-0.2 PyTorch 0.2.0 on Python 3.5 floydhub/pytorch pytorch-0.2:py2 PyTorch 0.2.0 on Python 2. floydhub/pytorch PyTorch 0.1 pytorch-0.1 PyTorch 0.1.12 on Python 3. floydhub/pytorch pytorch-0.1:py2 PyTorch 0.1.12 on Python 2. floydhub/pytorch Theano 0.9 theano-0.9 Theano rel-0.8.2 + Keras 2.0.3 on Python3.5. floydhub/theano theano-0.9:py2 Theano rel-0.8.2 + Keras 2.0.3 on Python2. floydhub/theano Caffe caffe Caffe rc4 on Python3.5. floydhub/caffe caffe:py2 Caffe rc4 on Python2. floydhub/caffe Torch torch Torch 7 with Python 3 env. floydhub/torch torch:py2 Torch 7 with Python 2 env. floydhub/torch Chainer 1.23 chainer-1.23 Chainer 1.23.0 on Python 3. floydhub/chainer chainer-1.23:py2 Chainer 1.23.0 on Python 2. floydhub/chainer Chainer 2.0 chainer-2.0 Chainer 1.23.0 on Python 3. floydhub/chainer chainer-2.0:py2 Chainer 1.23.0 on Python 2. floydhub/chainer MxNet 1.0 mxnet MxNet 1.0.0 on Python 3.6. floydhub/mxnet mxnet:py2 MxNet 1.0.0 on Python 2. floydhub/mxnet -
Keras和TensorFlow的版本对应关系
2021-01-21 13:14:07Keras和TensorFlow的对应关系,下面网址应该是解释最全的了,希望对大家有帮助 https://docs.floydhub.com/guides/environments/ -
【转载】keras和tensorflow的版本对应关系
2021-01-13 22:01:10【转载】keras和tensorflow的版本对应关系 https://www.cnblogs.com/carle-09/p/11661261.html keras和tensorflow的版本对应关系,可参考: Framework Env name (--env parameter) Description Docker ... -
版本问题---keras和tensorflow的版本对应关系
2021-01-21 14:25:04版本问题---keras和tensorflow的版本对应关系 keras和tensorflow的版本对应关系,可参考: Framework Env name (--env parameter) Description Docker Image Packages and Nvidia Settings ... -
keras和tensorflow的版本匹配
2019-10-23 13:44:14在配置环境的时候出现包的版本不匹配的问题是很常见的,keras和tensorflow的版本对应关系,可参考: Framework Env name (--env parameter) Description Docker Image Packages and Nvidia Settings ... -
Keras和TensorFlow间的亲子关系
2020-09-20 21:34:22Keras是基于TensorFlow和Theano(由加拿大蒙特利尔大学开发的机器学习框架)的深度学习库,keras是基于tensorflow的高级API,通常直接调用一些封装好的函数就可以实现某些功能,而tensorflow虽然比较底层,但是可以... -
keras和tensorflow对应版本
2020-03-04 00:36:20版本问题 keras和tensorflow的版本对应关系 keras和tensorflow的版本对应关系,可参考: @https://docs.floydhub.com/guides/envi... -
keras与tensorflow关系
2019-05-31 10:56:12Keras其实就是TensorFlow和Keras的接口(Keras作为前端,TensorFlow或theano作为后端),它也很灵活,且比较容易学。可以把keras看作为tensorflow封装后的一个API。 Keras 的核心数据结构是模型。模型... -
NVIDIA,CUDA,keras和TensorFlow之间的关系
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【Python】keras和tensorflow的版本对应关系
2020-05-02 20:42:46Below is the list of Deep Learning environments supported by FloydHub. Any of these can be specified in the floyd run command using the --env ...If no --env is provided, it uses the tensorflow-1.... -
机器学习平台系列(三) - PySpark组件依赖的虚拟环境:Keras 和 Tensorflow 版本对应关系
2019-11-07 13:20:34机器学习平台底层基于大数据平台提供计算资源,在机器学习平台上主要使用 Spark MLlib 实现了共 7 类(源/目标、统计分析、数据预处理、特征工程、机器学习、工具、文本分析) 90+ 个组件(每个组件代表内置的逻辑... -
好书快翻--《Python深度学习第二版》第三章 Keras和TensorFlow简介
2020-04-20 16:25:19博主有话说:首先感谢您阅读这篇博客!博主做大数据技术,平时喜欢阅读英文原版大数据技术书籍,并翻译成中文,分享出来。如要及时看到翻译的章节,请关注博... 核心深度学习概念如何转化为Keras和TensorFlow的概述... -
Windows系统keras+tensorflow-gpu+CUDA+CUDNN的安装 与pycharm的配置
2021-01-12 18:44:37Keras与Tensorflow的关系: Keras是基于TensorFlow和Theano(由加拿大蒙特利尔大学开发的机器学习框架)的深度学习库,是由纯python编写而成的高层神经网络API,也仅支持python开发。它是为了支持快速实践而对... -
python keras模块安装检测_python,keras,tensorflow安装问题 module 'tensorflow' has no attribute 'get_...
2020-12-11 12:38:53module ‘tensorflow’ has no attribute ‘get_default_graph’当我使用keras和tensorflow做深度学习的时候,python3.7报了这个错误,这个问题源自于keras和TensorFlow的版本过高导致模块不存在或者已经更改不再... -
keras与TensorFlow版本问题一定要重视
2020-09-16 10:41:45keras与TensorFlow之间的关系一直暧昧不清,导致用户也是很难受,尤其是新版本keras不需要再在前面加入TensorFlow.python后,很多网上的CV党大呼mmp,有的需要加,有的不需要加,很是费劲,所以一定要配置一个虚拟...
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