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https://www.arxiv.org/abs/2003.00231
[2003.00231] Conjugate-gradient-based Adam for stochastic optimization and its application to deep...
Abstract page for arXiv paper 2003.00231: Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning
conjugate gradient
stochastic optimization
based
adam
https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/linalg/experimental/conjugate_gradient
tf.linalg.experimental.conjugate_gradient | TensorFlow v2.6.0
Conjugate gradient solver.
conjugate gradient
tf
experimental
tensorflow
https://www.mdpi.com/2073-8994/15/6/1203
A Family of Developed Hybrid Four-Term Conjugate Gradient Algorithms for Unconstrained Optimization...
The most important advantage of conjugate gradient methods (CGs) is that these methods have low memory requirements and convergence speed. This paper contains...
conjugate gradient
family
developed
hybrid
four