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Planar Data Classification with Hidden Layers
The goal here is to build a neural network. I can then compare the new model against the model implemented using logistic regression to compare proficiencies, pros, and cons.
Deep L-layer Cat Identifier
Building from previous projects, this is meant to use a deep neural network to solve the critical cat or non-cat binary classification problem!
Logistic Regression Models Performance
Using the general architecture of a learning algorithm, including parameters initialization, implement a regression model structured as a shallow neural network.
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