# Image segmentation with Deep learning

Difficult! Isn’t it? Image segmentation is a bit challenging as well as very exciting problem to solve. It is one of the most critical applications in the field of computer vision. Various industrial applications like medical, aerial imagery, etc are powered by image segmentation. In this series of posts, you will be learning about how to solve and build solutions to the problem using Deep learning. Continue reading

# Face Recognition with Deep Learning

Hello, all! I hope you got excited by the title itself. What if I tell you that building a face recognition system is not so difficult? Yes, it is, and of course very exciting. Let’s build a complete face recognition system which enables you to enroll a new candidate into the system and perform recognition with higher accuracy!

# Building a Reverse Image Search Engine

Ever wondered, how does the Google reverse image search engine works which take in an image and returns you the most similar images in a fraction of a second? How does the Pinterest let you search the visually similar images of the selected objects? Sounds interesting? Do you want to understand and build similar kind of a system? If yes then you are at the right place. Continue reading

# Implementing a simple RNN

In this post we will be implementing two simple Recurrent Neural Networks (RNN) one for classification and the other for regression tasks.

### Classification using RNN

It takes in a binary number and returns the XOR of the number. For example if the input is 10110 then it should output 11011, as Continue reading