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--- Used to classify image ---

Python libraries to install:

  1. pip install numpy
  2. pip install keras
  3. pip install tensorflow

-> We use binary classification in which output is either 0 or 1. -> We follow supervised learning where we define set of inputs and outputs classes and train them to recognise using photos.

-> First create images dataset of any two objects(for eg here we taken orange and watermelon) -> Then training takes place using deep learning techniques, finally testing happens.

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Image classification using deep learning

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