This repo is dedicated to introducing the ways of implementing Deep Learning neural networks in R.

The reference videos can be found from the following links:

DL 01 Regression as a first step in deep learning: https://www.youtube.com/watch?v=0F2bBZiirlg&list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9&index=1

DL 02 Linear regression as a Simple Learner "SL": https://www.youtube.com/watch?v=FrceOv_oJac&list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9&index=2

DL 03 Linear regression as a Shallow Neural Network "SNN": https://www.youtube.com/watch?v=ZX4YSidnQaI&list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9&index=6

DL 04 Logistic regression as a Neural Network: https://youtu.be/7TjN1kuJidA?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9

DL 05 Deep Neural Network in R - Example: https://youtu.be/Yf80GvemZw8?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9

DL 06 Bias and Variance in Deep Learning: https://youtu.be/OFj4LuWXXmY?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9

DL 07 Regularization in Deep Learning: https://youtu.be/xVY0Nf_HJqk?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9 & https://youtu.be/-UtOoyf7vuI?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9

DL 08 Regularization and dropout using Keras in R: https://youtu.be/jPlSXWMPh08?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9

DL 09 Improving learning in Deep Neural Netorks "DNNs": https://youtu.be/nlK0AYCEDdw?list=PLH5_eZVldmtUCZWp-eL0lVL7SA6qyDIf9