Abstract
For researchers, writing their own program to simulate the concept of model of design is mostly essential. Computing processes at different stages of Neural Network (NN) are discussed in this introductory tutorial. In NN, two types of computing are performed, Feed Forward and Feed Back processing. Sometimes, Feed Back computing is known as Recurrent Neural Network (RNN). Here, updating of weight values required for RNN is discussed in viewpoint of programming of simulation of any new model.
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Acharjee, D., Szymanski, J. (2020). Computing Processes of Recurrent Neural Network at Different Layers. In: Sikander, A., Acharjee, D., Chanda, C., Mondal, P., Verma, P. (eds) Energy Systems, Drives and Automations. Lecture Notes in Electrical Engineering, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-15-5089-8_12
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DOI: https://doi.org/10.1007/978-981-15-5089-8_12
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