Course Outline

Introduction

Installation

Quick Start

Programming

  • NeuralNet
    • Layer
    • Param
  • TrainOneBatch
  • Updater 

Distributed Training

Data Preparation

Checkpoint and Resume

Python Binding

Performance test and Feature extraction

Training on GPU

Examples

  • Feed-forward models
    • CNN
    • MLP
  • RBM + Auto-encoder
  • Vanilla RNN for language modelling
  • Char-RNN
  21 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

Testimonials (5)

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