Deep Learning and Its Application
Keywords:
Deep Learning, Industry 4.0 Standards, Artificial Intelligent, Machine Learning, TensorFlow, Supervised and Unsupervised Learning TechniquesSynopsis
Chapters
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Technological Perspective of Fuzzy Logic System and its Applications
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Introduction to Deep Learning Frameworks and Application ERA
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Sentiment Analysis and Accuracy Prediction of Medical Dataset using Deep Adversarial Networks
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An Automated Tomato Plant Leaf Disease Prediction and Classification using CNN with Tensor Flow and Keras
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A Review of Social Media Content Sentiment Analysis using Deep Learning
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Residue Analysis of Moving Object Images using Deep Neural Network
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DeepQ OpenFlow Comparison of Software Defined Networks using Virtualized Provisioning Services
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Deep Learning and its Application in Time Series Analysis using Medical Dataset

Published
September 29, 2022
Categories
Copyright (c) 2022 Quing Publications
License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Details about this monograph
ISBN-13 (15)
978-81-957614-4-9
Physical Dimensions
How to Cite
Manikandan, S., Prasad, G. L. V., & VijayaRangan, V. (Eds.). (2022). Deep Learning and Its Application. Quing Publications. https://doi.org/10.54368/xta52q49