Deep Learning with R Course

Deep Learning with R Course Singapore

Introduction

Embark on a transformative journey to explore the realm of artificial intelligence through our Deep Learning with R course. Elevate your skills, learn, and upskill in the rapidly evolving field of AI. Witness the extraordinary progress in machine learning, from groundbreaking achievements in speech and image recognition to defeating world champions in strategic games like Go. Dive into the core of this progress—deep learning—leveraging the Keras library and its seamless interface with the R language. Stay ahead of the curve as you enhance your knowledge and proficiency in AI.

Course Objectives:

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

Duration

7 hours, 1 Day Course

Mode of Delivery

Classroom-based, Instructor-led Training

Course Outline

  1. Getting Started on R Keras
    1. What is Deep Learning?
    2. What is Keras
    3. Why Using R Keras Package
    4. Install R Keras Package
  2. Neural Networks
    1. What is Neural Network
    2. Activation Functions
    3. Neural Network on MNIST
  3. Convolutional Neural Network
    1. What is CNN?
    2. CNN Architecture
    3. Convolution Layers
    4. Pooling and Dropout Layers
    5. CNN on MNIST dataset
  4. Transfer Learning
    1. What is Transfer Learning
    2. Pre-Trained Image Recognition Models
    3. Fine Tuning Pre-Trained Models
  5. Recurrent Neural Network
    1. Sequential Data
    2. What is RNN?
    3. Types of RNN
    4. How to train a RNN
    5. Long Term Dependencies
    6. LSTM and GRU Cells
    7. RNN on IMDB datasets