kyouko-taiga

# This snippet was written by Dimitri Racordon ([email protected])
#
# Copyright (c) 2015 Dimitri Racordon
# Licensed under the The MIT License (MIT).

class lazy(object):

    # This class is heavily inspired by the werkzeug.utils.cached_property
    # decorator. It transforms a class method to a lazy property, evaluated
    # the first time the property is accessed.

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

neilslater

# -*- coding: utf-8 -*-
import numpy as np
import os
import cv2
import pandas as pd

from sklearn.cross_validation import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D

karamanbk

aditya-malte

andreyryabtsev