Difference between revisions of "Optimizer"
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* [https://www.tensorflow.org/api_guides/python/train TensorFlow Training Classes Python API] | * [https://www.tensorflow.org/api_guides/python/train TensorFlow Training Classes Python API] | ||
* [[Gradient Descent Optimization & Challenges]] | * [[Gradient Descent Optimization & Challenges]] | ||
| + | * [[Objective vs. Cost vs. Loss vs. Error Function]] | ||
There are many options for optimizer in Tensorflow. Optimizers are the tool to minimise loss between prediction and real value. | There are many options for optimizer in Tensorflow. Optimizers are the tool to minimise loss between prediction and real value. | ||
Revision as of 13:24, 24 June 2018
- TensorFlow Training Classes Python API
- Gradient Descent Optimization & Challenges
- Objective vs. Cost vs. Loss vs. Error Function
There are many options for optimizer in Tensorflow. Optimizers are the tool to minimise loss between prediction and real value.
Genetic Algorithm Optimization
