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liyong3forever / googlenet.py
Created October 4, 2017 06:55 — forked from joelouismarino/googlenet.py
GoogLeNet in Keras
from scipy.misc import imread, imresize
from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, merge, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD
from googlenet_custom_layers import PoolHelper,LRN
def create_googlenet(weights_path=None):
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liyong3forever / TensorFlow_Windows.md
Created June 14, 2016 11:19 — forked from ericjang/TensorFlow_Windows.md
Setting up TensorFlow on Windows using Docker.

TensorFlow development environment on Windows using Docker

Here are instructions to set up TensorFlow dev environment on Docker if you are running Windows, and configure it so that you can access Jupyter Notebook from within the VM + edit files in your text editor of choice on your Windows machine.

Installation

First, install https://www.docker.com/docker-toolbox

Since this is Windows, creating the Docker group "docker" is not necessary.

Caffe + Ubuntu 14.04 64bit + CUDA 6.5 配置说明

本步骤能实现用Intel核芯显卡来进行显示, 用NVIDIA GPU进行计算。

1. 安装开发所需的依赖包

安装开发所需要的一些基本包

sudo apt-get install build-essential  # basic requirement
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler #required by caffe