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gimseng / 99-ML-Learning-Projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects
MIT License
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[EXE] Logistic Regression as a Neural Network- Basic Deep Learning Algorithms #105

Open rakshaa2000 opened 3 years ago

rakshaa2000 commented 3 years ago

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

AjayKhalsa commented 3 years ago

@rakshaa2000 can you use the cats vs dogs dataset instead, because that would be great.

rakshaa2000 commented 3 years ago

Sure, I'll work on it ✌

darpan-2001 commented 1 year ago

@rakshaa2000 can I work on this issue now?