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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 10 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 14940
Article Published : 6711
Total Authors : 17943
Total Reviewer : 656
Total Countries : 120
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| Paper Title: | Wildlife Classification Model - Deep Learning in Python with Keras |
| Authors Name: | Mohammed Zidan Vaheed , Dr. M.N. Nachappa |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181738
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| Published Paper Id: | IJRTI2204005 |
| Published In: | Volume 7 Issue 4, April-2022 |
| DOI: | |
| Abstract: | Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems. This work aims to create a state-of-the-art deep learning model with computer vision at its base by highlighting the contributions and challenges from recent research papers. It first goes over the recent studies on the deep learning topics and the discoveries of other brilliant individuals in this field and highlights their successes and how that has contributed to the creation of our model. The system requirements are elaborated to help understand the intensity of work the system has to handle and what minimum level of computational power is required to create these deep learning models, as we know the models are quite computationally power heavy and need a lot of resources and time to work and create these models. Then we see the overview of the system, analysing it as well as its designs using pictorial representations to make understanding of the topic much easier. Finally, we summarize the discussion with the future plans for this deep learning model and how it will be upgraded for obtaining greater results that far surpass the results we have obtained from this project now. |
| Keywords: | Artificial Intelligence, Computer vision, Power heavy, Convolution Neural Networks, Class weights, Model Layers. |
| Cite Article: | "Wildlife Classification Model - Deep Learning in Python with Keras", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 4, page no.21 - 26, April-2022, Available :http://www.ijrti.org/papers/IJRTI2204005.pdf |
| Downloads: | 000204860 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2204005
Registration ID:181738
Published In: Volume 7 Issue 4, April-2022
DOI (Digital Object Identifier):
Page No: 21 - 26 Country: Calicut, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2204005 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2204005 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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