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I am doing simple CNN based binary image classification on classifying types of waste as organic and recyclable using image augmentation. How ever I have a doubt.

First part of the code

Second part of the code

Results

In the third figure i have set the steps_per_epoch = 22564/32= 705 where 32 is batch size and validation_steps as 2513/32 = 79 as per documentation does that mean out of 22564 training and 2513 validation samples 705 and 79 are trained and validated ?

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  • $\begingroup$ Hi and welcome to the site! Can you please paste and properly format your code? $\endgroup$ – Sammy Apr 6 at 15:25
  • $\begingroup$ I am sorry i dont know how to do that $\endgroup$ – Abhinav Thapper Apr 6 at 19:20
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No, that is the steps per epoch. One step is taking 32 images(batch size) So, 709*32 images used in that epoch and validated with 79*32 images.

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