如何使用Keras切换后端(从TensorFlow到Theano) [英] How to switch Backend with Keras (from TensorFlow to Theano)

问题描述

我试图用Keras切换后端(从TensorFlow到Theano)，但是没有管理. 我按照此处所述的温度进行操作，但是它不起作用.我在keras的目录中创建了一个keras.json(因为它不存在)，但是当我从Python导入它时，它没有任何改变.

I tried to switch Backend with Keras (from TensorFlow to Theano) but did not manage. I followed the temps described here but it doesn't work. I created a keras.json in the keras' directory (as it did not exist) but it doesn't change anything when I import it from Python.

推荐答案

在您的主目录中创建一个.keras(请注意前面的.)文件夹并将keras.json文件放在此处.

Create a .keras (note the . in front) folder in you home directory and put the keras.json file there.

例如，如果您使用的是类似UNIX的系统(MacOS X，Linux，* BSD)，请使用/home/DaniPaniz/.keras/keras.json(或简称为~/.keras/keras.json).在Windows上，您要创建文件夹%USERPROFILE%/.keras并将JSON文件放在其中.

For example, /home/DaniPaniz/.keras/keras.json (or ~/.keras/keras.json in short) if you are on a UNIX like system (MacOS X, Linux, *BSD). On Windows you want to create the folder %USERPROFILE%/.keras and put the JSON file there.

或者，您也可以设置环境变量KERAS_BACKEND:

Alternatively, you can also set the environment variable KERAS_BACKEND:

KERAS_BACKEND=theano python mymodel.py

这篇关于如何使用Keras切换后端(从TensorFlow到Theano)的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！