Introduction to Deep Learning Training Course

Course Code



21 hours (usually 3 days including breaks)


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


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.

Course Outline

  • 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


The topic is very interesting

Wojciech Baranowski - Dolby Poland Sp. z o.o.

Trainers theoretical knowledge and willingness to solve the problems with the participants after the training

Grzegorz Mianowski - Dolby Poland Sp. z o.o.

Topic. Very interesting!

Piotr - Dolby Poland Sp. z o.o.

Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.

- Dolby Poland Sp. z o.o.

Interesting subject

Wojciech Wilk - Dolby Poland Sp. z o.o.

The deep knowledge of the trainer about the topic.

Sebastian Görg - FANUC Europe Corporation

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £4350

Private Remote

From £3900 (94)

Public Classroom

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