HRDF Course- Deep Learning with R

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. This course, Deep Learning with R, introduces the world of deep learning using the powerful Keras library and its R language interface.  

The topics include:

• What is deep learning?
• Install R keras package
• Getting started with neural networks
• Deep learning for computer vision
• Deep learning for text and sequences

Module 1 Getting Started on R Keras

• What is Deep Learning ?
• What is Keras
• Why Using R Keras Package
• Install R Keras Package

Module 2 Neural Networks

• What is Neural Network
• Activation Functions
• Neural Network on MNIST

Module 3 Convolutional Neural Network

• What is CNN?
• CNN Architecture
• Convolution Layers
• Pooling and Dropout Layers
• CNN on MNIST dataset

Module 4 Transfer Learning

• What is Transfer Learning
• Pre-Trained Image Recognition Models
• Fine Tuning Pre-Trained Models

Module 5 Recurrent Neural Network

• Sequential Data
• What is RNN?
• Types of RNN
• How to train a RNN
• Long Term Dependencies
• LSTM and GRU Cells
• RNN on IMDB datasets