中国移动在为用户安装宽带时，总会好心地“赠送”一个光猫(调制解调器)。这看似是个不错的促销手段，但通常情况下，这个“赠品”会给用户带来许多麻烦。
赠送的“光猫”安装了许多不必要的功能。光猫的本职工作是进行光电转换，然而中国移动的“光猫”不仅承担着光电转换的任务，还同时进行拨号上网、路由、地址转换(NAT)、端口映射、文件服务器(FTP)等等额外的功能。这些功能让本就廉价而算力低下的光猫运行缓慢，不堪重负。最可气的是，中国移动为了节约维护成本，将光猫的绝大多数设置项锁定，防止用户修改。为了重新“拥有”光猫，我决定夺回对光猫的控制权。
我的型号是H2-2。下列操作理论上使用于其他型号。
Create the config file:
mkdir -p /etc/systemd/system/docker.service.d && \
vi /etc/systemd/system/docker.service.d/http-proxy.confPut up the configs:
| from __future__ import print_function | |
| import imageio | |
| from PIL import Image | |
| import numpy as np | |
| import keras | |
| from keras.layers import Input, Dense, Conv2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, Concatenate, Reshape, Activation | |
| from keras.models import Model | |
| from keras.regularizers import l2 | |
| from keras.optimizers import SGD |
A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.
Overview
Symbolic: Theano, CGT; Automatic: Torch, MXNet
Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.
sudo dpkg -i cuda-repo-ubuntu1404_6.5-14_amd64.deb
sudo apt-get update
| """ | |
| A deep neural network with or w/o dropout in one file. | |
| License: Do What The Fuck You Want to Public License http://www.wtfpl.net/ | |
| """ | |
| import numpy, theano, sys, math | |
| from theano import tensor as T | |
| from theano import shared | |
| from theano.tensor.shared_randomstreams import RandomStreams |
