Home Specialist skills Artificial Intelligence Artificial Neural Networks, Machine Learning, Deep Thinking
Artificial Neural Networks, Machine Learning, Deep Thinking
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Describe the function and structure of neural networks, learning concepts and foundational mathematics
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Discuss the use of various neural network applications and concepts such as single layer perceptrons, feedforward ANN, Radical Basis Functon Networks, Competitive
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Learning and Self Orgnaising networks and fuzzy neural networks
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Explain the frameworks and key aspects of machine learnign with practical applications
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Explore deep learning concepts and analyses to assess their uses in product design or service strategy
Overview
Off the shelf (OTS)
Artificial Neural Network is a computational data model used in the development of Artificial Intelligence (AI) systems capable of performing "intelligent" tasks. Neural Networks are commonly used in Machine Learning (ML) applications, which are themselves one implementation of AI. Deep Learning is a subset of ML.
Delivery method
Face to face
Virtual
Course duration
21 hours
Competency level
Working
Delivery method
-
Face to face
-
Virtual
Course duration
21 hours
Competency level
-
Working
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