Difference between revisions of "Optimizer"
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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. | ||
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Revision as of 21:17, 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
