-
This repository contains a regression model built using Keras.
-
The code will be split into 4 parts:
- Part A: Splitting the dataset into train and test sets 50 times, and training on 50 epochs each time while calculating the mean squared error for each time.
- Part B: Same as Part A, but the dataset is normalized.
- Part C: Same as Part B, but increasing the epochs to 100.
- Part D: Same as Part B, but increasing the number of hidden layers.
-
The dataset used in this repo is: https://cocl.us/concrete_data
-
This code is the final assignment of Introduction to Deep Learning & Neural Networks with Keras provided by IBM on Coursera.