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Here a deep neural network is classifying between cat vs non-cat image with an accuracy of 80 % on Test Set.

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gadia-aayush/Cat-Recognizer

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Readme- Cat Recognizer

Brief Description-

  • Here a deep neural network is classifying between cat vs non-cat image with an accuracy of 80 % on Test Set.

Methods Used-

  • L- Layer Neural Network

Technologies Used-

  • Python
  • Numpy
  • Matplotlib
  • SciPy
  • H5py

Getting Started-

  • Just clone the entire repo and run the Jupyter Notebook.

Output-

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Here a deep neural network is classifying between cat vs non-cat image with an accuracy of 80 % on Test Set.

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