Love to explore and learn new concepts. I am extremely interested in artificial intelligence, deep learning, robots, and the universe.
Learn how to use SRGANs to upscale your low resolution photos to HD using Gradient.
A primer for developing a custom neural network to learn to generate novel facial images using Deep Convolutional generative adversarial networks.
Interested in getting started with Deep Learning? This guide shows you how to get started with PyTorch, tensors, and constructing Neural Networks with PyTorch.
Learn how to generate customized, appropriate captions for images using the TensorFlow and NLP on the Gradient Platform.
In this article, you will learn how to create a machine translator using NLP with the Keras TensorFlow framework using a recurrent neural networks.
The Chained Context Aggregation Network (CANet) is a special image segmentation network that employs an asymmetric decoder to recover precise spatial details of prediction maps.
Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical applications.
