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this trick is the data scientist equivalent to printing money letamp;#39;s say weamp;#39;re trying to train a model to predict if a picture is of a dog or a cat if we read in one of our examples we can see this cute picture of a puppy but thereamp;#39;s a problem we donamp;#39;t have enough data we can use numpy to Simply flip this picture and itamp;#39;s still a picture of a dog but now our model has a new image to train on and these techniques are so popular thereamp;#39;s even whole packages that are created to apply these types of Transformations everything from rotating the images skewing and adding Distortion randomly cropping the image and randomly changing the brightness and contrast of the image itamp;#39;s really common when training image models to create a long chain of Transformations like this so that every time the model sees the image itamp;#39;s actually seen a new version of it and itamp;#39;s incredible how much better models can perform when trained on augm
