Difference between revisions of "Loss"
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[http://www.google.com/search?q=loss+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=loss+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [[Optimizer]] | + | * [[Optimizer]] Functions |
* [http://github.com/llSourcell/loss_functions_explained Loss Functions Explained | Siraj Raval] | * [http://github.com/llSourcell/loss_functions_explained Loss Functions Explained | Siraj Raval] | ||
Revision as of 08:37, 31 August 2019
YouTube search... ...Google search
There are many options for loss in Tensorflow (Keras). The actual optimized objective is the mean of the output array across all datapoints. Loss is one of the two parameters required to compile a model. here For a list of Keras loss functions.
