🍀 Challenge: Mine vs. Rock Classifier
Explore how to build a deep learning model using Keras to classify sonar signals as either mines or rocks. Understand model architecture setup, compiling with the Adam optimizer, training with proper activation functions, and evaluating model accuracy on real sonar data.
We'll cover the following...
We'll cover the following...
Problem statement
The sonar data for this challenge is taken from UCI Repository of datasets. Train a network to distinguish between sonar signals bouncing off of a metal cylinder and those bouncing off of a roughly cylindrical rock.
Each bouncing signal pattern is a set of 60 numbers between 0.0 and 1.0. Each number represents the ...