Introduction to Deep Learning Training Course

Description

• Type

  Course

• Methodology

  Online

Description

This course is general overview for Deep Learning without going too deep into any specific methods. It is suitable for people who want to start using Deep learning to enhance their accuracy of prediction.

About this course

Requirements

Good grounding in basic machine learning. Programming skills in any language (ideally Python/R).

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Subjects

• Web

Course programme

• Backprop, modular models
• Logsum module
• RBF Net
• MAP/MLE loss
• Parameter Space Transforms
• Convolutional Module
• Gradient-Based Learning
• Energy for inference,
• Objective for learning
• PCA; NLL:
• Latent Variable Models
• Probabilistic LVM
• Loss Function
• Handwriting recognition

Additional information

21 hours (usually 3 days including breaks)

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