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A cat classifier based on logistic regression with gradient descent algorithm.

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Logistic Regression with a Neural Network mindset

This notebook presents a prototypical image recognition algorithm. It is a cat classifier that recognizes cats with 70% accuracy!

What to use this notebook for:

  • Use logistic regression to build intuition about neural networks.
  • Apply gradient descent in simplest and unadorned form.
  • Set up the cost function and and update parameters iteratively with computed gradients.

The logistic regression is a powerful modeling technique in itself.

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A cat classifier based on logistic regression with gradient descent algorithm.

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