该python代码对deepdream进行了mxnet移植，实现了deepdream功能。 目前仅提高三种模型，分别是Inception-V3,VGG16,VGG19。相关模型参数可以去inception-V3下载，或者安装mxnet后用mxnet提供的转换工具转换caffe模型。 更多模型定义和参数请参考mxnet官方网站。
在此给大家安利下mxnet，它的好，谁用谁知道。
希望更多的科研、工作因为使用mxnet变得更简单高效！
This repository contains python code to reimplement the deepdream with mxnet. There are 3 model.py defining cnn model, Inception-V3,VGG16,VGG19, You can download from the parameters from inception-V3 parameters or convert the caffe vgg-model into mxnet model with convert.py in mxnet/tools.
Here are some results
Inception-V3
Inception-V3 with flower
VGG-16-pool5
vgg16-pool5 with flower
VGG-19-relu5_1
vgg19-relu5_1 with flower
You can generate more dream picture with mxnet which is a high Flexible and efficient Library for deeplearning.The installation of mxnet is very simple.This code was mainly referencing deepdream released by Alexander Mordvintsev with caffe. However, it's still strongly recommended to try deepdream with mxnet because the installation of caffe maybe very hard for most people.
Thanks for the researchers' work!
注：目前inception-v3只能可视化in3c之前的层，后面的层会报错，已告诉mxnet开发者。修复后会在这里再次声明。