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  7. Chapter 9Chapter 9
  8. MNIST_ClassificationMNIST_Classification
  9. Image_Classification_MNISTImage_Classification_MNIST
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Image_​Classification_​MNIST

Simple CNN for Image Classification

This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset using Keras.

The enclosed pictures are from the MNIST dataset (http://yann.lecun.com/exdb/mnist/).

Nodes

  • Expression3 ×
  • Column Appender2 ×
  • Decompress Files2 ×
  • Image Calculator2 ×
  • Image Reader (Table)2 ×
  • Keras Dense Layer2 ×
  • List Files/Folders2 ×
  • Path to String2 ×
  • RowID2 ×
  • Sorter2 ×
  • CSV Reader1 ×
  • Column Renamer1 ×
  • Create Collection Column1 ×
  • File Reader1 ×
  • Keras Convolution 2D Layer1 ×
  • Keras Flatten Layer1 ×
  • Keras Input Layer1 ×
  • Keras Max Pooling 2D Layer1 ×
  • Keras Network Executor1 ×
  • Keras Network Learner1 ×
  • Many to One1 ×
  • Scorer1 ×
  • String To Number1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Deep Learning - Keras Integration
  • FeatureKNIME Expressions
  • FeatureKNIME Image Processing

Links

  • No links available

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: marcel
Created at: 2017-07-05
On NodePit since: 2020-12-17
Last update: 2025-05-19
Created with KNIME version: v5.4.2
Tags: deep learningKerasimage classification

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