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The fundamentals of convolutional neural network (CNN) and recurrent neural network (RNN) architectures and their practical implementations in science and engineering are also discussed. This book includes exercise problems for all case studies focusing on various fine-tuning approaches in deep learning.
Science and engineering students at both undergraduate and graduate levels, academic researchers, and industry professionals will find the contents useful. .
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