Objective : Test the SPSA alorithm method for a gradient descent of the loss function, within a complex model like a Convolution Neural Network. We use the Model keras class object in Tensorflow.
(text under construction)
-
Notifications
You must be signed in to change notification settings - Fork 0
Objective : Test the SPSA alorithm method for a gradient descent of the loss function, within a complex model like a Convolution Neural Network. We use the Model keras class object in Tensorflow.
Jesshuan/SPSA_implementation_within_a_Tensorflow_Neural_Network
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Objective : Test the SPSA alorithm method for a gradient descent of the loss function, within a complex model like a Convolution Neural Network. We use the Model keras class object in Tensorflow.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published