tensorflow和keras版本选择(截止2021-08-08)
tensorflow
一个面向所有人的开源机器学习框架
项目地址:https://gitcode.com/gh_mirrors/te/tensorflow
免费下载资源
·
最近又碰到了tensorflow和keras版本对应问题,于是就查阅文档(网址为List of Available Environments - FloydHub Documentation),把对应的tensorflow+keras+python版本汇总一下,方便之后查阅。
以下是FloydHub支持的深度学习环境列表。其中任何一个都可以在floyd的run命令中使用--env选项指定。
如果没有提供--env选项,则默认使用tensorFlow -1.9镜像,该镜像和提前装好的Python 3.6、Keras 2.2.0和TensorFlow 1.9.0一起提供。
Framework 框架 | Env name (--env parameter) 环境参数 | Description 描述 | Docker Image dcoker镜像网址 | 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 |
说明:记录学习笔记,如果错误欢迎指正!转载请联系我。
GitHub 加速计划 / te / tensorflow
184.55 K
74.12 K
下载
一个面向所有人的开源机器学习框架
最近提交(Master分支:2 个月前 )
a49e66f2
PiperOrigin-RevId: 663726708
3 个月前
91dac11a
This test overrides disabled_backends, dropping the default
value in the process.
PiperOrigin-RevId: 663711155
3 个月前
更多推荐
已为社区贡献26条内容
所有评论(0)