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IEEE4d
A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM
This study aimed to determine how certain Key Performance Indicators (KPIs) based on student interactions with Blackboard helped to forecast the learning outcomes of students. A mixed-methods study ...
IEEE3d
Developing Novel Activation Functions Based Deep Learning LSTM for Classification
The LSTM networks have high performance in solving the vanishing gradient problem that is observed in recurrent neural networks. Performance investigations were carried out utilizing three distinct ...
GitHub3d
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow.
To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.