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I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.

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computer-vision image-classification keras tensorflow catvsdog-classifier cnn convolutional-neural-networks deep-learning hyperparameter-importance hyperparameter-search

cat-or-dog-image-classification's Introduction

handwavegif Hello there !

profile count  GitHub Moddy2024 

👨🏻‍💻  About Me

  • A highly resourceful computer programmer who has obsession with coding and solving problems.
  • 🖥️ I like working in machine learning, deep learning, and computer vision.
  • All my projects are listed here in this github account.

🛠  Tech Stack

Python  Tensorflow  Keras  OpenCV  PyTorch  ML/AI  Git  GitHub  NumPy  Pandas  Matplotlib  scikit-learn  SciPy  C++ 

📫   How to reach me:

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