Category: Convolutional Neural Networks

Using images generated for a learning task might work well when it comes to classification of images generated in a similar manner. But the real world is more complex. Here, we use the models trained on images generated in a particular way and apply it to images which are in a slightly different format.

The journey we took from simple algorithms to more complex ones resulted in a Convolutional Neural Network (CNN) with the ability to perfectly classify the images of the hands it had not seen yet. In this article we would like to build an algorithm to classify whether the hand in an image is a left or right hand. We can then re-use our well performing model in our new task. This is called Transfer Learning.