Types of Deep Learning - Achronus/Machine-Learning-101 GitHub Wiki

Deep Learning is a method in which we try to mimic the human brain and use it within computers/machines. The human brain is one of the most powerful tools on the planet for learning, adapting skills and applying them.

Common models for this are:

• Artificial Neural Networks for Regression and Classification
• Convolutional Neural Networks for Computer Vision
• Recurrent Neural Networks for Time Series Analysis
• Self-Organizing Maps for Feature Extraction
• Deep Boltzmann Machines for Recommendation Systems
• AutoEncoders for Recommendation Systems

Table of Contents

• Supervised Deep Learning Models

  • Artificial Neural Networks (ANN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)

• Unsupervised Deep Learning Models

  • Self Organizing Maps (SOM)
  • Boltzmann Machines (BM)
  • AutoEncoders (AE)