Introduction to Generative Adversarial Network

by Ankit Sachan • January 19, 2020

Artificial Intelligence has improved quite a lot in the last decade. By improvement I mean we’re able to do things better than before as well as we can now do things that we didn’t even imagine, but now we and machines both can imagine. What ! machines can imagine ? Yes you heard it right ! […]

Continue Reading

Getting started with Recurrent Neural Networks

by Ankit Sachan • November 20, 2019

In some previous tutorials, we learned how to build image classifiers using convolutional neural networks or build object detectors using CNNs. In both examples, all the information required to identify the dog or cat is present in the image. However, there are many use-cases where the current prediction not only depends on the current input […]

Continue Reading

EfficientNets: The Free lunch of 2019 for convolutional neural networks

by Ankit Sachan • November 7, 2019

Neural network architecture design is one of the key hyperparameters in solving problems using deep learning and computer vision. Various neural networks are compared on two key factors i.e. accuracy and computational requirement. In general, as we aim to design more accurate neural networks, the computational requirement increases. The term ‘Efficient’ in Efficient Net strongly […]

Continue Reading

Real time deep learning based face detection with MTCNN

by Ankit Sachan • October 13, 2019

Today, we are going to use deep learning to detect faces in images and videos using Tensorflow. You guys might have seen a lot of demos of face detection online. Most of these demos or projects are built using Haar cascade in OpenCV. Haar cascades have a lot of issues when applied to real-world videos. They […]

Continue Reading

Detailed Guide to Understand and Implement ResNets

by Ankit Sachan • September 17, 2019

ResNet is one of the most powerful deep neural networks which has achieved fantabulous performance results in the ILSVRC 2015 classification challenge. ResNet has achieved excellent generalization performance on other recognition tasks and won the first place on ImageNet detection, ImageNet localization, COCO detection and COCO segmentation in ILSVRC and COCO 2015 competitions. There are […]

Continue Reading