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

Requirements

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

 28 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €9120 online delivery, based on a group of 2 delegates, €2880 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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