neural network

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neural network

A form of artificial intelligence that relies on a group of interconnected mathematical equations that accept input data and calculate an output. The more often the equations are used, the more reliable and valuable they become in drawing conclusions from data. Neural networks have been used in health care to interpret electrocardiograms and to make and suggest diagnoses.

neural network

a proposed system of interconnecting neurones to explain the higher brain functions such as memory perception and learning, where the pattern of resulting activity can be varied through the number and strength of connections between the constituent neurones.
References in periodicals archive ?
The algorithmic model for deep learning has a much deeper structure than the traditionalfrom shallow to deep.
Fortunately, the palliative care team is more focused on identifying patients who need their attention and not why the deep learning algorithm predicted a specific patient to likely die within a year.
With PowerAI, IBM has optimized and simplified the deployment of deep learning frameworks and libraries on the Power architecture with acceleration, allowing data scientists to be up and running in minutes.
This technology is expected to improve recognition accuracy for image and speech recognition, and a whole host of other fields in which deep learning is used," continues Yamada.
Users of TITAN V can gain immediate access to the latest GPU-optimized AI, deep learning and HPC software by signing up at no charge for anNVIDIA GPU Cloudaccount.
Dell EMC Deep Learning Ready Bundle customers will also benefit
One Stop Systems' customers can now tap into the power of our Volta architecture to accelerate their deep learning and high performance computing workloads.
Shining a light into the black box of deep learning systems is what Yinzhi Cao of Lehigh University and Junfeng Yang and Suman Jana of Columbia University-along with the Columbia Ph.
Lex Fridman, MIT said, 'We are looking to lead the world in the application of state-of-the art deep learning methods for semi-autonomous vehicle systems in a way that ensures the human being is the core focus of every algorithm and interface we build.
Deep learning is one part of machine learning, which is part of AI.
Deep learning is characterized by a high level of engagement in learning, driven by intrinsic motivation and more importantly, supported by relevant learning approaches or strategies that allow learners to manage complexity and key challenges (most on cognitive aspects) to sustain engagement and achieve a high level of understanding and performance.
Of course, developers need tools to do deep learning via Brainwave.