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Opiniones y comentarios de aprendices correspondientes a Fundamentals of CNNs and RNNs por parte de Universidad de Sungkyunkwan

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This course covers fundamental concepts of convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are widely used in computer vision and natural language processing areas. 
 In the CNN part, you will learn the concepts of CNNs, the two major operators (convolution and pooling), and the structure of CNNs. In the RNN part, you will learn the concept and the structure of RNNs, and the two variants of RNNs, LSTMs and GRUs. 
 The goal of this course is to give learners basic understanding of CNNs and RNNs. Throughout this course, you will be equipped with skills required for computer vision and natural language processing....

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1 - 6 de 6 revisiones para Fundamentals of CNNs and RNNs

por Xiaohua L

27 de mar. de 2021

por Allison G

10 de jul. de 2021

por wonseok k

22 de ene. de 2022

por ­배용희(대학원/일반대학원 물

2 de may. de 2021

por Taehee W

9 de feb. de 2021

por Ulfa L H

1 de oct. de 2021