Machine Learning for OpenCV

Creating a convolutional neural network

Once we have preprocessed the data, it is time to define the actual model. Here, we will once again rely on the Sequential model to define a feedforward neural network:

In [5]: from keras.model import Sequential...     model = Sequential()

However, this time, we will be smarter about the individual layers. We will design our neural network around a convolutional layer, where the kernel is a 3 x 3 pixel two-dimensional convolution:

In [6]: from keras.layers import Convolution2D...     n_filters = 32...     kernel_size = (3, 3)...     model.add(Convolution2D(n_filters, kernel_size[0], kernel_size[1],...                             border_mode='valid',...                             input_shape=input_shape))

A two-dimensional convolutional layer operates akin to image ...