Advanced Deep Learning Training Cursus

Course Code

dladv

Duration

28 hours (usually 4 days including breaks)

Requirements

Good understanding of Machine Learning. At least theoretical knowledge of Deep Learning.

Overview

Machine learning is een tak van kunstmatige intelligentie waarbij computers kunnen leren zonder expliciet te worden geprogrammeerd. Diep leren is een deelgebied van machine learning dat methoden gebruikt die gebaseerd zijn op gegevensrepresentaties en structuren zoals neurale netwerken.

Machine Translated

Course Outline

  • Machine Learning Limitations
  • Machine Learning, Non-linear mappings
  • Neural Networks
  • Non-Linear Optimization, Stochastic/MiniBatch Gradient Decent
  • Back Propagation
  • Deep Sparse Coding
  • Sparse Autoencoders (SAE)
  • Convolutional Neural Networks (CNNs)
  • Successes: Descriptor Matching
  • Stereo-based Obstacle
  • Avoidance for Robotics
  • Pooling and invariance
  • Visualization/Deconvolutional Networks
  • Recurrent Neural Networks (RNNs) and their optimizaiton
  • Applications to NLP
  • RNNs continued,
  • Hessian-Free Optimization
  • Language analysis: word/sentence vectors, parsing, sentiment analysis, etc.
  • Probabilistic Graphical Models
  • Hopfield Nets, Boltzmann machines
  • Deep Belief Nets, Stacked RBMs
  • Applications to NLP, Pose and Activity Recognition in Videos
  • Recent Advances
  • Large-Scale Learning
  • Neural Turing Machines

 

Getuigenissen

★★★★★
★★★★★

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