The method combines Generative Adversarial Network (GAN) architecture with Recurrent Neural Network (RNN) Encoder and can generate an extensive number of parameters (>170) given the neuron’s membrane ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Proposed architecture reduces the network diameter 50 percent compared to 2D mesh. This ends in less network average latency and power consumption considerably, which are demonstrated by performance ...

This repository showcases an advanced experimental framework for training Generative Adversarial Networks (GANs ... It is designed to demonstrate state-of-the-art techniques in GAN architecture, ...

This series shows faces of people who do not exist. They are created in collaboration with artificial neural networks. The MMD-GAN neural networks studied 200,000 human faces and then generated new ...

The project is built with PyTorch 3.8, PyTorch 1.8.1. CUDA 10.2, cuDNN 7.6.5 For installing, follow these instructions: conda install pytorch=1.8.1 torchvision=0.9.1 -c pytorch pip install tensorboard ...

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust.