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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      02 June 2023, Volume 38 Issue 3
    Article

    EMERGING TRENDS OF DEEP LEARNING APPROACH OF ARTIFICIAL NEURAL NETWORK USING IMAGE CLASSIFIER METHOD IN PYTHON
    Shilpa, Neeraj Sharma, Sakshi , Swati Rehal
    Journal of Data Acquisition and Processing, 2023, 38 (3): 3384-3395 . 

    Abstract

    Deep learning is a branch of machine learning which is based on artificial neural networks. It is capable of learning complex patterns and relationships within data. In deep learning, we don’t need to explicitly program everything. It has become increasingly popular in recent years due to the advances in processing power and the availability of large datasets. Because it is based on artificial neural networks (ANNs) also known as deep neural networks (DNNs). These neural networks are inspired by the structure and function of the human brain’s biological neurons, and they are designed to learn from large amounts of data. In summary, Deep Learning is a subfield of Machine Learning that involves the use of deep neural networks to model and solve complex problems. Deep Learning has achieved significant success in various fields, and its use is expected to continue to grow as more data becomes available, and more powerful computing resources become available.

    Keyword

    Deep Learning, Artificial Neural Network, Image Classifier, Python


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ISSN 1004-9037

         

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