我可以在具有英特尔高清显卡的笔记本电脑中实现深度学习模型吗 [英] Can I implement deep learning models in my laptop with intel hd graphics

问题描述

我目前正在为我的硕士学位做一个关于深度学习的项目.我想安装keras库，所以当我开始安装Theano和tensorflow时，我看到必须安装CUDA.但是我的笔记本电脑配备了英特尔高清显卡.所以我的问题是，如果我仍然安装它们，它将起作用. 谢谢

I am currently doing a project on deep learning for my masters degree. I wanted to install keras library, so when I started installing Theano and tensorflow i saw that i have to install CUDA. But my laptop comes with intel hd graphics. So my question is will it work if i install them anyway. Thanks

推荐答案

您可以在不安装cuda的情况下安装和使用keras，但无法使用Intel HD图形加速gpu.

You can install and use keras without cuda, but you can't get gpu accelerating with intel hd graphics.

如果使用Theano作为keras的后端，请首先安装Theano:

If you use Theano as keras' backend, first install Theano:

# for python2
pip install theano
# for python3
pip3 install theano

然后设置〜/.theanorc文件，如下所示:

Then set ~/.theanorc file like this:

[global]
floatX = float32
device = cpu
allow_gc = True

[blas]
ldflags = -lopenblas

如果将TensorFlow用作keras的后端，则只需安装CPU版本的TensorFlow.

If you use TensorFlow as keras' backend, just install the CPU version of TensorFlow.

# for python2.7
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0-cp27-none-linux_x86_64.whl
# for python3.4
pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0-cp34-cp34m-linux_x86_64.whl
# for python3.5
pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0-cp35-cp35m-linux_x86_64.whl

然后安装keras:

# for python2
pip install keras
# for python3
pip3 install keras

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