Neural Network Design for Breast Cancer Wisconsin and Wine data sets
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Designed a neural network and setting parameters that will learn to classify the datasets as accurately as possible which is implemented using TensorFlow and created the best environment using optimizers. ...learn more
Project status: Under Development
Overview / Usage
In this project we design and set parameter for learning algorithms implemented in TensorFlow. The goal is to design a neural network that will learn to classify as accurately as possible the two data sets given as wdbc.csv and wine.csv.
Methodology / Approach
Use the training data set wdbc train and the test data set wdbc. The number of epochs is limited to 1000.
Use the training data set wine train and the test data set wine. The number of epochs is limited to 1000.