Author:
Faruq Amrul,Adeyani Bellina Rahmamaulida,Syafaah Lailis
Reference12 articles.
1. N. K. Manaswi, "Rnn and lstm,” in Deep Learning with Applications Using Python: Springer, 2018, pp. 115–126.
2. Y. Bengio, "Practical recommendations for gradient-based training of deep architectures,” in Neural networks: Tricks of the trade: Springer, 2012, pp. 437–478.
3. I. Goodfellow, Y. Bengio, and A. Courville, Deep learning. MIT press, 2016.
4. T. Schaul, S. Zhang, and Y. LeCun, "No more pesky learning rates,” 2013: PMLR, pp. 343–351.
5. M. D. Zeiler, "Adadelta: an adaptive learning rate method,” arXiv preprint arXiv:1212.5701, 2012.