Abstract
Artificial Intelligence is that term which take Science to new horizons. In field of computers, AI is described as where machine acts like human. AI has different fields on the basis of problem i.e. machine learning, natural language processing, computer vision and robotics. To achieve these objectives several approaches are in trend like Symbolic Reasoning, Neural Network, Deep Learning and Evolutionary Algorithms. Out of these, Neural Network and Deep learning are those approaches which attracts the researchers. Both are inspired by biological neural network but Deep learning is more refined neural network in which feature extraction and abstraction is automatic as compared to Neural Network. In this chapter we will emphasise on AI technologies and then focus on recent researches in field of Deep Learning i.e. Sentiment Analysis, WSN etc.
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Mehla, S., Chaudhary, A., Kumar, R. (2019). Review on Current Trends of Deep Learning. In: Kumar, R., Wiil, U. (eds) Recent Advances in Computational Intelligence. Studies in Computational Intelligence, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-030-12500-4_4
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DOI: https://doi.org/10.1007/978-3-030-12500-4_4
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Online ISBN: 978-3-030-12500-4
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