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What is Epochs

Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
The number of epochs used to train a deep learning model.
Published in Chapter:
A Robust Method for Classification and Localization of Satellite Cyclonic Images Over the Bay of Bengal and the Arabian Sea Using Deep Learning
Manikyala Rao Tankala (IMD, Ministry of Earth Sciences, India), Samuel Stella (IMD, Ministry of Earth Sciences, India), Prayek Sandepogu (IMD, Ministry of Earth Sciences, India), Kondaveeti Nanda Gopal (IMD, Ministry of Earth Sciences, India), Ramesh Babu Mamillapalli (IMD, Ministry of Earth Sciences, India), and Devarakonda Rambabu (IMD, Ministry of Earth Sciences, India)
DOI: 10.4018/978-1-6684-3981-4.ch014
Abstract
According to recent findings, deep learning algorithm outperforms in many tasks like image classification, image segmentation, image recognition, etc. in the field of computer vision. With the help of deep learning, classification tasks on remote sensing image data can attain better performance compared to traditional approaches. This chapter primarily demonstrates how residual neural networks are used to classify satellite images of cyclones in the Bay of Bengal (BoB) and the Arabian Sea (Arab Sea). The authors further discovered the cyclones' locations and investigated using satellite images in the infrared and visible bands of electromagnetic spectrum. From the evaluation metrics, the neural network looks to be capable of correctly identifying the cyclonic storm utilising Gradient Class Activation Mapping (Grad-CAM). Satellite images of both cyclone storm and non-cyclone storm are analysed for cyclonic storm recognition and classification.
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More Results
Computational Psychometrics Social Analysis of Learners in Their Learning Behaviour Using AI Algorithms
In machine learning, an epoch refers to a complete iteration of the training data through a neural network.
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Multivariate Time Series Forecasting of Rainfall Using Machine Learning
While using supervised Machine Learning techniques, the network is trained by presenting some examples. To reduce the error between the predicted and observed examples, the training data is repeated and presented to the network. These repetitions are called epochs.
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Deep Learning for Moving Object Detection and Tracking
The number of data passes in DNN model is called as epochs.
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