One topic trending recently in the high-tech semiconductor industry has been the discussion around compute systems that mimic the functionality of the brain...
Nvidia earlier this month released cuDNN, a set of optimized low-level primitives to boost the processing speed of deep neural networks (DNN) on CUDA compatible GPUs. The company intends to help developers harness the power of graphics processing units for deep learning applications...
Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation algorithm, can be a valuable addition to your machine learning skill set...
Google Maps, the powerful online mapping tool, owes its success to two key elements: GPS, which calculates a position on the Earth’s surface, and an exhaustive map that contains information such as your home address, your favorite restaurant, and the donut shop you pass on the way to work...
There are not so many news events related to Neural Networks in the past week but anyway I found some of them: one analytical article and 3 business news...
In this paper we introduce our method that is able to analyze and recognize Elliott waves in time series. Our method uses an artificial neural network that is adapted by backpropagation. Neural network uses Elliot wave’s patterns in order to extract them and recognize...
Personalization algorithms designed to know our intentions before we do form the backbone of the Internet Economy. And while these algorithmic systems may not fit all the criteria of genuine Artificial Intelligence (AI), their artifice is firmly in place in terms of their bias...
A Gentle Introduction to Artificial Neural Networks. Google's Neural Networks See Even Better. Recently Google's neural network team demoed a system that can recognize a lot of different things in photos...
Artificial Neural Networks Developers & Programmers - database of programmers making job on NN Successful Trading Using Artificial Intelligence - the book TRADING NEWS EVENTS - Retail Sales - mql5 blog post TRADING LESSON: How to Trade the Gross Domestic Product (GDP) - mql5 blog post Creatin...
Neural Network FAQ, by 7 parts incl learning howto, books, data, free software, commercial software, hardware, and more A Novel Approach of Finger Print Recognition Using (Ridge) Minutia Method and Multilayer Neural Network Classifier - the article Thousands Of Gamers Help Scientists Map The Neur...
An ideal neural network expert advisor must trade by itself, without human intervention at all. Regular advisor sooner or later has to be optimized, and you have to find parameters at which it begins to trade profitably...
Artificial neural networks are sophisticated computer systems that mimic the working of the human brain...
Neural networks have been a hot topic for traders for more than a dozen years. Indeed, this author has written many articles about neural networks and how they can be used in trading strategies...
The technological singularity requires the creation of an artificial superintelligence (ASI). But does that ASI need to be modelled on the human brain, or is it even necessary to be able to fully replicate the human brain and consciousness digitally in order to design an ASI...
Neural Network Model The neural network is constituted by a large number of nerve element interconnect network. According to the interconnection of the neurons in thenetwork, the common network structure can be divided into the following three categories: 1...
Setting the Network Weights The code for method SetWeights is presented in Listing 3. Method SetWeights accepts an array of values that represent both weights and bias values...
The Deep Neural Network Constructor The deep neural network constructor begins by copying its input parameter values to the corresponding class members: public DeepNeuralNetwork(int numInput, int numHiddenA, int numHiddenB, int numOutput) { this.numInput = numInput; this...
Overall Program Structure The overall structure of the demo program, with a few minor edits to save space, is presented in Listing 1. To create the demo, I launched Visual Studio and created a new project named DeepNeuralNetwork. The demo has no significant Microsoft...
