99-ML-Learning-Projects
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gimseng
[EXE] Logistic Regression as a Neural Network- Basic Deep Learning Algorithms
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
@rakshaa2000 can you use the cats vs dogs dataset instead, because that would be great.
