The last thing that we have to do is drain our model training model is usually done using the fixed
function, but this time we are going to use deep fixed generator function in this big generator function.
We can give Grangemouth that as one parameter.
So this big generator function will get input of 20 images at a time from our range Endacott function.
Does it function that we created a loop to destroy Ingenico, which of which was giving out 20 images
of 150 where one of PDM engines.
That is a pattern we got put beginning to function.
Now we have to specify this steps, but Epoch Barometer.
This is mandatory.
It is very important because as I told you earlier, that train, that is an infinite loop.
It will keep on giving you and the images continuously.
You have to tell when to stop.
So steps but epoch.
The eldest ranger needs to stop after giving the images.
Hunger pains.
So steps.
But epoch basically means that within one epoch.
How many times are we learning this.
Strange that.
Since we were training on a data set of 2000 images, we wanted to input 2000 images into what pretended
to danger Nader was giving us going images.
But that so to train on 2000 images.
We done that Prange Anuta a hundred times so that we get 2000 training images in different generative
function.
Next parameters, epochs.
This is the number of planes, these two images will be fed into our model.
We have specified it to grindy validation.
Data is to be taken form from validation generator and validation steps are set to complete.
Because this is also giving grindy images.
So 15 to 20 is 1000.
And we have a data of 1000 validation images.
So that is why steps but epoch in training is hundred and invalidation steps.
It is pithy.
Bananas on this.
This is going to take a lot of pain because we have a Bigfoot model, this thing to be prepared.
It may take up to half an hour.