Xingjian Du diggerdu

## gist:a453611aedca7168742dac5dea6b5116
./configure --enable-threads --enable-openmp --disable-fortran --enable-avx --enable-avx2 --enable-avx-128-fma

## blog_tensorflow_scope_decorator.py
# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without

## network.cpp
#include "network_pre.h"


LayerInfo::LayerInfo::LayerInfo(double (*activation_function )(double sum), double NumNode)
{
    activate = activation_function;
    numnodes = NumNode;
};

## network.cpp
#include "network_pre.h"


LayerInfo::LayerInfo::LayerInfo(double (*activation_function )(double sum), double NumNode)
{
    activate = activation_function;
    numnodes = NumNode;
};

## arxiv2kindle.ipynb

      
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                diggerdu
                / arxiv2kindle.ipynb
            
            
              Created
              September 11, 2016 10:34
                — forked from bshillingford/arxiv2kindle.ipynb
            
              
                arxiv2kindle: recompiles an arxiv paper for kindle-sized screens, and sends it to your wifi-enabled kindle
              
          
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	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without
	#include "network_pre.h"




	LayerInfo::LayerInfo::LayerInfo(double (*activation_function )(double sum), double NumNode)
	{
	activate = activation_function;
	numnodes = NumNode;
	};