Implementing feedforward networks with images
Now we will look at how to use feedforward networks to classify images. We will be using notMNIST
data. The dataset consists of images for nine letters, A to I.
NotMNIST dataset is similar to MNIST dataset but focuses on Alphabets instead of numbers (http://yaroslavvb.blogspot.in/2011/09/notmnist-dataset.html)
We have reduced the original dataset to a smaller version for the training so that you can easily get started. Download the ZIP files and extract them to the folder where the dataset is contained, https://1drv.ms/f/s!Av6fk5nQi2j-kniw-8GtP8sdWejs.
Note
The pickle module of python implements an algorithm for serializing and de-serializing a Python object structure. Pickling is the process in which a Python object hierarchy is converted into a byte stream, unpickling is the inverse operation, where a byte stream is converted back into an object hierarchy. Pickling (and unpickling) is alternatively known as serialization, marshaling, [1] or flattening...