Advanced Deep Learning Schulung

Kurs Code

dladv

Dauer

28 hours (üblicherweise 4 Tage inklusive Pausen)

Voraussetzungen

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

Überblick

Maschinelles Lernen ist ein Zweig der künstlichen Intelligenz, in dem Computer lernen können, ohne explizit programmiert zu werden. Deep Learning ist ein Teilgebiet des maschinellen Lernens, das Methoden verwendet, die auf dem Lernen von Datendarstellungen und Strukturen wie neuronalen Netzen basieren.

Machine Translated

Schulungsübersicht

  • 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

 

Erfahrungsberichte

★★★★★
★★★★★

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