我正在使用keras安装anaconda环境,并使用theano后端。但我不能让西亚诺去工作。这是我所做的事,也是事后指出的错误。
步骤1:下载最新版本的anaconda,然后通过bash 3-5.0.1- linux -x86_64.sh在Linux中安装
步骤2:conda安装-c conda-forge,它安装keras 2.0.9
这也安装了theano 1.0.1,如下所示:
The following NEW packages will be INSTALLED:
keras: 2.0.9-py36_0 conda-forge
lib
成功安装theano之后,我使用:
import theano
它只是给我一个警告:
WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will
default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano fl
我在linux上使用anaconda,我已经安装了相关的包。我正在尝试学习theano,为了简单起见,我想运行以下代码
from sympy.printing.theanocode import theano_function
import sympy as sp
import numpy as np
x, y, z = sp.symbols('x y z')
f = sp.sin(x)*sp.cos(y)*sp.sin(z) + sp.sin(4*(x - y**2*sp.sin(z)))
xg, yg, zg = np.mg
我正在尝试运行theano库代码,我的设置是macos,塞拉利昂,x64和pycharm与。
我安装了theano : pip安装theano并成功安装了它,但是当我试图运行代码时,它会产生以下错误:
WARNING (theano.configdefaults): g++ not detected ! Theano will be
unable to execute optimized C-implementations (for both CPU and GPU) and
will default to Python implementations. Performance wi
我已经在Windows上运行了Keras & Theano的安装(遵循这个)。现在,我已经尝试将后端切换到,它工作得很好。
我唯一的问题是,与之相反的是Theano:
from tensorflow.python.client import device_lib
def get_available_gpus():
local_device_protos = device_lib.list_local_devices()
return [x.name for x in local_device_protos if x.device_type == 'GPU'
我正在尝试在CPU机器上安装Theano (运行英特尔高清显卡,没有NVIDIA)。在python中测试时,我得到了以下导入错误。
WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to exe
cute optimized C-implementations (for both CPU and GPU) and will default to Pyth
on implementations. Performance will be severely degraded. To remove thi
我正在尝试使用以下Keras包在Python中处理神经网络:
from keras.utils import np_utils
from keras.layers.core import Dense, Activation, Dropout
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras