Have ever come across a situation where you had to port your code written in one programming language to another?. You might have or might not but this type of problem is not uncommon. Dozens of programming languages exist in the IT industry aiming to solve different problems. These programming…

Sometimes we have a meeting scheduled at a time when we haven’t cleaned our rooms but that doesn’t stop us from attending the meeting because of the awesome background filters feature available in video calling apps like Google Meet, Zoom, and many others. These filters replace our background with the…

OCR is one of the most common applications of Machine Learning that we see in our lives. OCR has plenty of applications in the real world from scanning price tags in malls to license plates on roads. Due to advancements in deep learning techniques over the years the OCR has…

According to research, 90% of the models built by data scientists never make out to production. The reason for this is that the production environment has several constraints. It could be inference time or it could be hardware in some cases. Hence to make the model ready, we need to…

It was a Sunday morning and as always I went to a friend for spending my time. He was on his bed reading a novel. He was looking quite thrilled reading that novel. Suddenly my friend told me why don’t you try this novel. It was not the first time…

OCR is one of the most important and popular problems that computer vision has tried to solve for a long period. A huge amount of research has been done in the field of OCR as a result of which a large number of approach has been discovered. Several of them…

Ever went through your old family album and wondered if you could colour your old black and white photos of your father or Grandfather? This is the article that will satisfy that hunch. In this article, I will provide you a deep intuition of how we can use a variant…

In the previous article of my GAN series, we learned how we can develop a simple GAN to generate MNIST digits. But that GAN did randomly generate handwritten digits lying between 0 to 9. But there might be a condition where we want to generate a specific type of image…

GANs or Generative Adversarial Networks are regarded as one of the most interesting ideas in Deep Learning. This network was created in 2014 by sir Ian Goodfellow and his colleagues as described in Goodfellow et al. At that time it drew a lot of attention from the Deep Learning folks…