Covid19 Models , datasets for different types of predictions related to mortality and vaccination
Close
Deep Learning
As Fairness and Ethical AI has become an essential part while designing algorithms, let’s explore some of the open source tools and algorithms available
September 23, 2020
Summarizing Most Popular Text-to-Image Synthesis methods with Python
Comparative Study of Different Adversarial Text to Image Methods Introduction Automatic synthesis of realistic images from text has become popular with deep convolutional and recurrent neural network architectures to aid in learning discriminative text feature representations. Discriminative power and strong generalization properties of attribute representations even though attractive, its a complex process and requires domain-specific knowledge. Over the years the techniques have evolved as auto-adversarial networks in space of machine learning algorithms continue to evolve. In comparison, natural language offers an easy, general, and flexible plugin that can be used to […]
The importance of privacy in Machine Learning is growing and several open source libraries have been developed by Google, IBM. Let’s check out a multi-text classification example.
Key Innovation by Samsung AI Research on Adversarial Learning Motivation Convolutional neural networks have been successful in generating realistic human head images by training neural networks on a large dataset of images of a single person. However, in many practical scenarios, such personalized talking customised head models has to be built with extra features that can display some of the physical characteristics of the human body (including eyes, ears, checks, movement of face). When such […]
- 1
- 2
