Gender classification using CNNs

In the previous sections, we learned about how a CNN works and how CNNs solve the image-translation problem.

In this section, we will further our understanding of how a CNN works by building a model that works toward detecting the gender of person present in image.

Getting ready

In this section, let's formulate our strategy of how we will solve this problem:

• We will collect a dataset of images and label each image based on the gender of person present in image
• We'll work on only 2,000 images, as the data fetching process takes a considerably long time for our dataset (as we are manually downloading images from a website in this case study)
• Additionally, we'll ensure that there...