Using the crab’s dataset, build a classifier that can identify the sex of a crab from its physical measurements. Five physical measurements of a crab considered are: frontal lobe size (FLB), rear width (RW), length (CL), width (CW), and depth (BD).
The problem at hand is to identify the sex of a crab given the observed values for each of these physical characteristics. You are expected to feed previously recorded inputs to a Neural Network and then tuning it to produce the desired target outputs.
In this assignment, choose any pair of attributes and using the sigmoid function implement the stochastic gradient descent learning algorithm for a feed forward neural network.
Download the dataset: [url removed, login to view]
Dataset description: [url removed, login to view]
Dataset visual characteristics: [url removed, login to view]