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Neural Network Console

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This page provides tutorials on Neural Network Console and its key functionalities. You can proceed from setup to training by following the tutrials.

Setup and preparation

  • Setup
  • Dataset preparation

Tutorial

  • Training using a sample project
  • Designing and training a two-layer neural network
  • Estimating continuous values based on input image
  • Using vectors or matrices as input to the neural network
  • Network that uses several types of input data
  • Analyzing partial output of trained neural networks
  • Profiling the training processing time
  • Two methods of using neural networks trained on Neural Network Console using Neural Network Libraries
  • Expressing complex networks concisely using the unit function
  • Using original loss functions

Project selection window

  • Using the project selection window

Dataset management window

  • Using the dataset management window

Project window

  • Using the project window
  • Using the EDIT tab
  • Using the DATASET tab
  • Using Global Config on the CONFIG tab
  • Using Optimizer on the CONFIG tab
  • Using Monitor on the CONFIG tab
  • Using Executor on the CONFIG tab
  • Using the TRAINING tab
  • Using the EVALUATION tab
  • Other functions available on the project window

Setup window

  • Setup window

Plugin reference

  • Plugin reference(App)

Layer reference

  • Layer reference
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