Artificial Neural Networks (ANN) with Keras in Python and R

Course Overview

• Course Title: Artificial Neural Networks (ANN) with Keras in Python and R
• Instructor: Abhishek and Pukhraj
• Target Audience: Business Analysts, executives, students interested in Deep Learning
• Prerequisites: Installation of Python and Anaconda software (guide provided in the course)

Curriculum Highlights

• Key Topics Covered:
  • Python and R basics
  • Theoretical concepts of Neural Networks
  • Creating Regression and Classification ANN models in Python and R
  • Data preprocessing
• Key Skills Learned:
  • Understanding of Artificial Neural Networks (ANN) and Deep Learning
  • Usage of Keras and TensorFlow libraries
  • Building ANN models in Python and R
  • Making predictions using ANN
  • Identifying business problems solvable with Neural Network models

Course Format

• Duration: 8.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 5 coding exercises
  • 6 articles
  • 4 downloadable resources
  • Access on mobile and TV
  • Certificate of completion