Understanding StyleGAN for Image Generation using Deep Learning
Introduction Images produced by generative methods have been improving lately. Most of the recent generative algorithms have made use of generative networks that are trained using a discriminator network as their adversary. Generative Adversarial Networks (GANs) or generators, in other words, are a relatively new concept in the field of computer vision. Their aim is […]
Continue ReadingState-Of-The-Art Text to Image Generation using DALL-E
DALL-E – Creating images from text Code – openai/DALL-E: PyTorch package for the discrete VAE used for DALL·E. Paper – https://arxiv.org/pdf/2102.12092.pdf What is DALL-E? On 5th January 21, OpenAI unveiled their novel text to image generation model, DALL-E. This model is capable of generating various types of images from textual descriptions. A humongous 12 […]
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Training Image Classification 8x Faster With NFNet
Introduction: Anyone who has deployed a neural network on production knows that deploying a network is easy but making sure that it stays updated as new user data flows is a harder task. It involves keep training the network with new incoming data frequently and in such a case being able to train faster is […]
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Training Object Detectors using TensorFlow Object Detection API
Machine learning algorithms are everywhere around you. The recommendations you receive on youtube, estimation of commute time, face detection in google photos, and many more, all of these features that make our lives easier would not have been possible without advances in machine learning algorithms. Machine learning can be further classified into various fields; many […]
Continue ReadingZero to Hero: A Quick Guide to Object Tracking: MDNET, GOTURN, ROLO
In today’s article, we shall deep dive into video object tracking. Starting from the basics, we shall understand the need for object tracking, and then go through the challenges and algorithmic models to understand visual object tracking, finally, we shall cover the most popular deep learning based approaches to object tracking including MDNET, GOTURN, […]
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