To understand some of the limitations of CNNs, let's go through an example where we try to identify whether the given image contains the image of a cat or a dog.
Gender classification of the person in an image using CNNs
Getting ready
We will gain an intuition of how a CNN predicts the class of object present in the image through the following steps:
- A convolution filter is activated by certain parts of the image:
- For example, certain filters might activate if the image has a certain pattern—it contains a circular structure, for example
- A pooling layer ensures that image translation is taken care of:
- This ensures that even if an image is big, over an increased number of pooling operations, the size of the...