Optimizer

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• Loss Functions
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• Objective vs. Cost vs. Loss vs. Error Function
• H2O Driverless AI - Intro + Interactive Hands-on Lab - Video

There are many options for optimizer in Tensorflow. Optimizers are the tool to minimise loss between prediction and real value. Click here For a list of Keras optimizer functions.

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model.compile(optimizer='sgd'. loss='mean_squared_error')

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