Zahra-Bakhtiari / Logistic-Regression-with-a-Neural-Network-mindset

Building a logistic regression classifier to recognize cats

Logistic-Regression-with-a-Neural-Network-mindset

This repo covers building a logistic regression classifier to recognize cats. The notebook will include all the steps on how to implement this with a Neural Network mindset. Vectorization is the core concept in the model development.

Notebook Summary:

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