In this section, we will use the knowledge that we gained from the last two chapters to tackle a problem that has unstructured data – image classification. The idea is to take a dive into solving a Computer Vision task with the current setup and the basics of neural networks that we are familiar with. We have seen that feedforward neural networks can be used for prediction using structured data; let's try that on images to classify handwritten digits.
To solve this task, we are going to leverage the MNSIT database and use the handwritten digits dataset. MNSIT stands for Modified National Institute of Standards and Technology. It is a large database that's commonly used for training, testing, and benchmarking image-related tasks in Computer Vision.
The MNSIT digits dataset contains...
