What optimizer is used in the model, and what are the values set for the learning rate, decay rate, and decay step?
Sunday, 13 August 2023
by EITCA Academy
The optimizer used in the Cryptocurrency-predicting RNN Model is the Adam optimizer. The Adam optimizer is a popular choice for training deep neural networks due to its adaptive learning rate and momentum-based approach. It combines the benefits of two other optimization algorithms, namely AdaGrad and RMSProp, to provide efficient and effective optimization. The learning rate
- Published in Artificial Intelligence, EITC/AI/DLPTFK Deep Learning with Python, TensorFlow and Keras, Recurrent neural networks, Cryptocurrency-predicting RNN Model, Examination review
Tagged under:
Adam Optimizer, Artificial Intelligence, Cryptocurrency, Deep Learning, Learning Rate Decay, RNN