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dogBreed_Classifier

this is a project provided by Udacity to classify dog breeds.

This repositery contains 3 files: 1- dog_app.ipynb.json 2- dog_app.html 3- folder with images to test the classifier.

the following libraries are used:

from sklearn.datasets import load_files
from keras.utils import np_utils import numpy as np from glob import glob import random import cv2
import matplotlib.pyplot as plt
from keras.applications.resnet50 import ResNet50 from keras.preprocessing import image
from tqdm import tqdm from keras.applications.resnet50 import preprocess_input, decode_predictions from PIL import ImageFile
from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D from keras.layers import Dropout, Flatten, Dense from keras.models import Sequential from keras.callbacks import ModelCheckpoint
from extract_bottleneck_features import * from extract_bottleneck_features import * import os

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