Examples of using Neural nets in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
Neural nets try to simulate the human brain's ability to learn.
And we're learning from neural nets, genetic algorithms, evolutionary computing.
While some of these methods are simple, like regression, the others are complex, like neural nets.
What do the Fast Fourier Transform and artificial neural nets have to do with the Great Commission?
Facebook uses neural nets to translate about 2 billion user posts per day in more than 40 languages.
In multi-infarct dementia, the combined effects of differentinfarcts produce cognitive decline by affecting the neural nets.
He is a professional in artificial intelligence, neural nets, computational systems and blockchain technologies.
The neural nets we build are particularly useful functions because they have so many parameters that can be fine tuned.
In multi-infarct dementia, the combined effects of differentinfarcts produce cognitive decline by affecting the neural nets.
Creating neural nets in software is quite easy but reproducing them with hardware has been difficult to achieve, until now.
He participated in several successful projects connected with distributed computational systems for SEO andhybrid neural nets.
We need to find ways to train large neural nets from“raw” non-annotated data so they capture the regularities of the real world.
Artelnics, predictive analytics consulting services and solutions for Engineering, Health,and Business using neural nets and Deep Learning.
The CEO alsoannounced that Google will be using the neural nets it creates to build other neural nets with AutoML.
The course covers the ground from a basic introduction to machine learning to getting started with TensorFlow,to designing and training neural nets.
The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit(TLU).
Data Mining Technologies, provides Data Mining and Predictive Analytics consulting using AI-based approach,without statistics, Neural Nets or tree building limitations.
It is imperative to discover approaches to prepare extensive neural nets from“crude” non-commented data in order to catch the regularities of the real world.
Data Mining Technologies, gives Information Mining and Predictive Analytics consulting using AI-based strategy,with out statistics, Neural Nets or tree creating limitations.
In advanced machine learning, deep neural nets(DNNs) move beyond classic computing and information management to create systems that can learn to perceive the world, on their own.
These structures may be particularly suited for alternative learning-based computational paradigms such as brain-inspired systems anddeep neural nets, and the approach presented by the authors is definitely a great first step in that direction.”.
The introduction of software using neural nets has clearly advanced the best tournament players skill, as these programs are designed to beat and still teach the best players around the world.
This is a short film about speech recognition,language understanding, neural nets, and using our voices to communicate with the technology around us.
Many traders misapply neural nets because they place too much trust in the software they use all without having been provided good instructions on how to use it properly.
In spite of his emphatic declaration that science is not technology,Dewdney seems here to pillory neural nets as 33 dating 23 bad science when most of those devising them are just trying to be good engineers.
Correct Application of Neural Nets Many traders apply neural nets incorrectly because they place too much trust in the software they use all without having been provided with proper instructions on how to use it properly.
Arguments against Dewdney's position are that neural nets have been successfully used to solve many complex and diverse tasks, ranging from autonomously flying aircraft[1] to detecting credit card fraud[2].