Open rakshaa2000 opened 4 years ago
Learn the gradient descent algorithm using numpy and matplotlib.
This exercise helps classify pictures as cat and non-cat with the help of neural networks with 2 layers.
Must know the basics of logistic regression.
This is the solution to the Neural Networks Exercise in Coursera. It is a custom dataset.
I have the solution notebook for this exercise. I will be happy to create pull request to include the exercise.
Found this exercise here
@rakshaa2000 can you use the cats vs dogs dataset instead, because that would be great.
Sure, I'll work on it ✌
@rakshaa2000 can I work on this issue now?
Learning Goals
Learn the gradient descent algorithm using numpy and matplotlib.
Exercise Statement
This exercise helps classify pictures as cat and non-cat with the help of neural networks with 2 layers.
Prerequisites
Must know the basics of logistic regression.
Data source/summary:
This is the solution to the Neural Networks Exercise in Coursera. It is a custom dataset.
(Optional) Suggest/Propose Solutions
I have the solution notebook for this exercise. I will be happy to create pull request to include the exercise.
(Optional) Further Links/Credits to Relevant Resources:
Found this exercise here