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The last thing that we have to do is drain our model training model is usually done using the fixed

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function, but this time we are going to use deep fixed generator function in this big generator function.

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We can give Grangemouth that as one parameter.

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So this big generator function will get input of 20 images at a time from our range Endacott function.

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Does it function that we created a loop to destroy Ingenico, which of which was giving out 20 images

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of 150 where one of PDM engines.

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That is a pattern we got put beginning to function.

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Now we have to specify this steps, but Epoch Barometer.

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This is mandatory.

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It is very important because as I told you earlier, that train, that is an infinite loop.

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It will keep on giving you and the images continuously.

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You have to tell when to stop.

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So steps but epoch.

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The eldest ranger needs to stop after giving the images.

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Hunger pains.

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So steps.

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But epoch basically means that within one epoch.

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How many times are we learning this.

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Strange that.

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Since we were training on a data set of 2000 images, we wanted to input 2000 images into what pretended

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to danger Nader was giving us going images.

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But that so to train on 2000 images.

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We done that Prange Anuta a hundred times so that we get 2000 training images in different generative

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function.

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Next parameters, epochs.

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This is the number of planes, these two images will be fed into our model.

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We have specified it to grindy validation.

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Data is to be taken form from validation generator and validation steps are set to complete.

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Because this is also giving grindy images.

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So 15 to 20 is 1000.

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And we have a data of 1000 validation images.

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So that is why steps but epoch in training is hundred and invalidation steps.

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It is pithy.

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Bananas on this.

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This is going to take a lot of pain because we have a Bigfoot model, this thing to be prepared.

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It may take up to half an hour.