joelouismarino

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

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

ilyaigpetrov

Comparison of ASP.NET and Node.js for Backend Programming

We will compare ASP.NET and Node.js for backend programming.
Source codes from examples.

Updates

This document was published on 21.09.2015 for a freelance employer. Some changes since then (14.02.2016):

1. Koa.js no longer uses co-routines, it has switched to Babel's async/await. yield and await are used almost in the same way, so I see no point to rewrite the examples.

joakin

[
  {
    "txt": "Table Flip",
    "val": "(╯°□°）╯︵ ┻━┻"
  },
  {
    "txt": "umadbro?",
    "val": "¯\\_(ツ)_/¯"
  },
  {