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Logistic_Regression_with_a_Neural_Network_mindset_v6a

Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This assignment will step you through how to do this with a Neural Network mindset, and so will also hone your intuitions about deep learning.

Instructions:

Do not use loops (for/while) in your code, unless the instructions explicitly ask you to do so. You will learn to:

Build the general architecture of a learning algorithm, including: Initializing parameters Calculating the cost function and its gradient Using an optimization algorithm (gradient descent) Gather all three functions above into a main model function, in the right order