TY  - JOUR 
AU  - Fatima, Noor
PY  - 2020
SN  - 2255-2863
UR  - http://hdl.handle.net/10366/146093
AB  - Adopting the most suitable optimization algorithm (optimizer) for a Neural Network Model is among the most important ventures in Deep Learning and all classes of Neural Networks. It's a case of trial and error experimentation. In this paper, we will...
PB  - Ediciones Universidad de Salamanca (España)
KW  - Adadelta
KW  - Adagrad
KW  - Adam
KW  - Adamax
KW  - Deep Learning
KW  - Neural Networks
KW  - Nadam
KW  - Optimization algorithms
KW  - RMSprop
KW  - SGD
KW  - Adadelta
KW  - Adagrad
KW  - Adam
KW  - Adamax
KW  - Deep Learning
KW  - Neural Networks
KW  - Nadam
KW  - Optimization algorithms
KW  - RMSprop
KW  - SGD
TI  - Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms
ER  -