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hey guys youre watching Python tutorial videos on my youtube channel Python from across the pest this video is a continuation of our discussion about autoencoders and of course in one of our previous tutorials we talked about the basics of auto-encoders and in the last three videos we looked at a few applications of r2 encoders including denoising anomaly detection and in the last tutorial we actually looked at domain adaptation where we where we converted einstein image into Monalisa image by tricking the auto encoder during the training process so lets use the same are tricky method to artificially colorize the black and white images or grayscale images and again the way it works is just to remind you again a quick note about autoencoders its nothing but we are training the image on an image and within and reconstructing it back you know the original image back in other words we are fitting a model of X and X where X is our input and its also the output now obviously during this