Reinforcement Learning: The Next Frontier
Deep Learning in recent years has touched many milestones – convolutional neural networks have surpassed human performance in tasks like object detection, image classification. Transformers are providing awesome results in natural language-based tasks. While these are outstanding achievements, these methods suffer from the fact that they... Read more
Facial Landmarks – a Solution in Deepfakes
The human face and body are key entities in the task of fake content generation. Particularly when dealing with the human face, apart from detecting the overall face in each image or video, a deepfake solution also needs to focus on the eyes, mouth, and other... Read more
Audio-Visual Speech Enhancement and Separation Based on Deep Learning
Imagine being at a cocktail party with your friends. Although you are surrounded by other people having their own conversations and a music band is playing in the background, you are still able to engage with your friends and understand what they are saying. The reason... Read more
Adversarial Image Explanation Through Alibi
Deep learning-based computer vision has plenty of real-life applications. In particular, Convolutional Neural Network (CNN) architectures are commonly used across multiple CV tasks as they have high accuracy. But their strength leads also to a weakness point, as a little perturbation to an input image/frame can... Read more
Music to My Mechanical Ears: Exploring the Rimworld of Sound Space: Episode 1
Music has been a way for us to express ourselves for quite a while now. And as we evolve, our society evolves, our technology evolves, and also, our instruments evolve. Last century we started using electronics to create music and this has provided us with so... Read more
Brand Voice: Deep Learning for Speech Synthesis
The production of artificial natural-sounding human speech is a fascinating topic due to its complexity and surprising results, with applications that range from chatbots to the automatization of audio content in news media. One obvious example of a Text-to-Speech (TTS) application for news media is a... Read more
Fake News: Where Do We Stand in the Fight Against Disinformation
If you’re familiar with conspiracy theories regarding COVID-19 vaccines, Barack Obama’s birthplace, or Hillary Clinton’s ties to “Pizzagate”, you’ve experienced only a fraction of contemporary disinformation. With the rise of social media and its capacity for viral posts and fake news, disinformation campaigns have become a common... Read more
PyTorch Lightning: From Research to Production, Minus the Boilerplate
The following post introduces PyTorch Lightning, outlines its core design philosophy, and provides inline examples of how this philosophy enables more reproducible and production-capable deep learning code. What is PyTorch Lightning? PyTorch Lighting is a lightweight PyTorch wrapper for high-performance AI research. Simply put, PyTorch Lightning... Read more
Why TensorFlow Will Stand Out on Your Resume in 2021
You have likely heard about TensorFlow in the machine & deep learning circles for quite a while now, and for good reason. This Google-developed framework excels where many other libraries don’t, such as with its scalable nature designed for production deployment. With that, here are just... Read more
Understanding the Temporal Difference Learning and its Predication 
The temporal difference learning algorithm was introduced by Richard S. Sutton in 1988.  The reason the temporal difference learning method became popular was that it combined the advantages of dynamic programming and the Monte Carlo method. But what are those advantages?  This article is an excerpt from the... Read more