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    Performance Evaluation of Autism Diagnosis Tool at Diverse Learning Rates

    Abstract: Abstract: Artificial Neural Networks (ANN) has been considered as a major artifact in the scenario of Machine Learning, which needs optimization for more accurate and efficient results. The main aim of this paper is to identify the optimization techniques and their learning rates for ANN with better results. In this paper, we have been utilized “Keras” library for framing ANN with different optimization techniques. The evaluation of the optimization techniques …

    Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 92–99 Read article

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