Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and small-scale scenes, developing neural rendering methods for city-scale sce...
We propose Neural Walk-on-Spheres (NWoS), a novel neural PDE solver for the efficient solution of high-dimensional Poisson equations. Leveraging stochastic representations and Walk-on-Spheres methods, we develop novel losses for neural networks based...
We propose two new criteria to understand the advantage of deepening neural networks. It is important to know the expressivity of functions computable by deep neural networks in order to understand the advantage of deepening neural networks. Unless d...
Sandy, the android based human-robot is an Indian-born gift to us, pleasing in energies of the ‘i-Brain Robotics, and the latter is typically the maiden and the only quick and Human Sized robot we could have ever witnessed. With a 5 feet standing, and an interstellar network of c…
neural meaning, definition, what is neural: relating to a nerve or the nervous syste...: Learn more.
A project on hardware design for convolutional neural network. This neural network is of 2 layers with 400 inputs in the first layer. This layer takes input from a memory. A MATLAB script was created to get the floating point inputs and convert it to 7 bit signed binary output. T…
Tags: artificial-intelligence, neural-network, biological-neural-network | Score: 15
We proposed Neural Enquirer as a neural network architecture to execute a natural language (NL) query on a knowledge-base (KB) for answers. Basically, Neural Enquirer finds the distributed representation of a query and then executes it on knowledge-b...
Autonomous vehicles require strong detection systems to be safe for humans. This systems must to detect all the elements existing in the road systems, to have the ability of response in any situation. A good solution for this purpose, is the use of semantic segmentation of the el…
With the advancement of neural networks, diverse methods for neural Granger causality have emerged, which demonstrate proficiency in handling complex data, and nonlinear relationships. However, the existing framework of neural Granger causality has s...
Evaluating neural network performance is critical to deep neural network design but a costly procedure. Neural predictors provide an efficient solution by treating architectures as samples and learning to estimate their performance on a given task. H...
We present Instant Neural Radiance Fields Stylization, a novel approach for multi-view image stylization for the 3D scene. Our approach models a neural radiance field based on neural graphics primitives, which use a hash table-based position encoder...
Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible deep artificial neural network architectures can. Small (often minimal) receptive fields…
Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biological systems, more attention is being made for the delayed neural netw...
A presentation of recommendation system concepts and a brief introduction to how to implement a neural network for this task. Also, how the YouTube recommender system works. (⭐ 21)
A neural network architecture with CFO correction capability (⭐ 1)
use neural network to estimate CFO and channel frequency response (⭐ 0)
Neural Networks and Deep Learning repository for all projects and programming assignments of Course 1 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; former…
Neural Network-male-female-recognition-human-skin-detection (⭐ 18)