Question

i want to know what does model fit mean & how to put it?

Answer 1

* After the creation of model, it is configured with losses and metrices with model.compile() , After that it is trained using model.fit() or used to predict with model.predict() .

* It trains the model by slicing the data to batches with size "batch_size". It repeatedly iterate over the entire database for a given number of "epochs" .

* The history of the objects is returned, which holds a record of loss value and metric value while training.

* After that evaluate the model on test using evaluate ().

- Compiling method:

* Inorder to train the model with fit() , we need to first specify the loss function , optimizer and some metrices to monitor (optional).

* After that this is passed to the model as arguments to the compile() method.