A Model to Automatically Evaluate Beginners’ Programs Based on Syntactic Knowledge Point and Deep Learning Technology

Author:

Yan Yu1,Kurokawa Hirokuni2

Affiliation:

1. Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan

2. Personnel and Training Division Intelligent Vision & Image System. Co., Ltd,Tokyo,Japan

Publisher

IEEE

Reference24 articles.

1. An Empirical Comparison of Supervised Learning Algorithms;caruana;Proc of the 23rd International Conference on Machine Learning,2016

2. Improved Adam Optimizer for Deep Neural Networks

3. Sequence to sequence learning with neural networks;sutskever;Proc of Advances in Neural Information Processing systems,2014

4. Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels;zhang;Advances in neural information processing systems,2018

5. Dynamically Personalized E-Training in Computer Programming and the Language C

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