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Review of Deep Learning: A New Era

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ICT Infrastructure and Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 520))

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Abstract

Deep learning (DL) made surprising progress in different Artificial Intelligence (AI) and Computer vision applications. The learning permits different handling layers to learn highlights without help from anyone else inverse to traditional AI approaches, which could not handle the information in their normal structure. Deep convolution networks have shown incredible execution in handling pictures and recordings, though intermittent nets have shown extraordinary accomplishment for consecutive information. This paper surveys every one of the angles and investigates done work now around here alongside their future prospects.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sakalchand Patel University, Visnagar, Gujarat, India

    Mohini Darji & Dushyantsinh B. Rathod

  2. Department of Computer Engineering, Silver Oak College of Engineering and Technology, Ahmedabad, Gujarat, India

    Jaykumar A. Dave

Authors
  1. Mohini Darji
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  2. Jaykumar A. Dave
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  3. Dushyantsinh B. Rathod
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Corresponding author

Correspondence to Mohini Darji .

Editor information

Editors and Affiliations

  1. Singidunum University, Belgrade, Serbia

    Milan Tuba

  2. ITM University, Gwalior, Madhya Pradesh, India

    Shyam Akashe

  3. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Darji, M., Dave, J.A., Rathod, D.B. (2023). Review of Deep Learning: A New Era. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Infrastructure and Computing. Lecture Notes in Networks and Systems, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-19-5331-6_33

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