Learning Data Mining with Python - Second Edition

Convolutional Neural Networks

To get started with image analysis with Keras, we are going to reimplement the example we used in Chapter 8, Beating CAPTCHAs with Neural Networks, to predict which letter was represented in an image. We will recreate the dense neural network we used in Chapter 8, Beating CAPTCHAs with Neural Networks. To start with, we need to enter our dataset building code again in our notebook. For a description of what this code does, refer to Chapter 8, Beating CAPTCHAs with Neural Networks (remember to update the file location of the Coval font):

import numpy as np from PIL import Image, ImageDraw, ImageFont from skimage import transform as tf

def create_captcha(text, shear=0, size=(100, 30), scale=1): im = Image.new("L", ...