suraj-deshmukh

import pandas as pd  #to store tweets into csv
import tweepy

#Twitter API credentials

consumer_key = ""
consumer_secret = ""
access_key = ""
access_secret = ""

suraj-deshmukh

'''Trains a simple convnet on the MNIST dataset.
Does flat increment from T. Xiao  "Error-Driven Incremental Learning in Deep Convolutional 
Neural Network for Large-Scale Image Classification"
Starts with just 3 classes, trains for 12 epochs then 
incrementally trains the rest of the classes by reusing 
the trained weights.
'''

from __future__ import print_function
import numpy as np

suraj-deshmukh

VGG-Face model for Keras

This is the Keras model of VGG-Face.

It has been obtained through the following method:

• vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
• vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model

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

suraj-deshmukh

#image processing resources
from skimage.io import imread, imshow
from skimage.filters import gaussian, threshold_otsu
from skimage.feature import canny
from skimage.transform import probabilistic_hough_line, rotate

#testing 
import numpy as np
import os