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CNN_​For_​Image_​Classification_​(Fashion_​MNIST)

CNN for Image Classification of the MNIST Fashion Dataset

This workflow trains a Convolution Neural Network (CNN) to classify the images of the MNIST Fashion Dataset into ten different classes.

Define network architecture Read and preprocss fashion MNIST dataset Train and apply network Evaluate and save network Note: This workflow uses only a subset of the Fashion MNIST dataset. You can download the full dataset here: https://peltarion.com/knowledge-center/documentation/datasets-view/datasets-used-in-tutorials/fashion-mnist-dataset Read labelsAdd classlabelMap category to indexCreate collectioncell with label indexInput shape: 28,28,1Kernel 3,3Filter 16Poolsize 2,2Units: 100Activation ReLUUnits 10Activation: SoftmaxEpochs: 15Batch Size: 32Normalizeimages70% training30% testingEvalutate the modelSave thetrained modelin a .h5 fileClass with highest probabilityKernel 3,3Filter 16Kernel 3,3Filter 32Kernel 3,3Filter 32Poolsize 2,2 CSV Reader Cell Replacer Category To Number Create CollectionColumn Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Read Images Keras NetworkWriter Extract Prediction Keras Convolution2D Layer Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Define network architecture Read and preprocss fashion MNIST dataset Train and apply network Evaluate and save network Note: This workflow uses only a subset of the Fashion MNIST dataset. You can download the full dataset here: https://peltarion.com/knowledge-center/documentation/datasets-view/datasets-used-in-tutorials/fashion-mnist-dataset Read labelsAdd classlabelMap category to indexCreate collectioncell with label indexInput shape: 28,28,1Kernel 3,3Filter 16Poolsize 2,2Units: 100Activation ReLUUnits 10Activation: SoftmaxEpochs: 15Batch Size: 32Normalizeimages70% training30% testingEvalutate the modelSave thetrained modelin a .h5 fileClass with highest probabilityKernel 3,3Filter 16Kernel 3,3Filter 32Kernel 3,3Filter 32Poolsize 2,2 CSV Reader Cell Replacer Category To Number Create CollectionColumn Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Read Images Keras NetworkWriter Extract Prediction Keras Convolution2D Layer Keras Convolution2D Layer Keras Convolution2D Layer Keras Max Pooling2D Layer

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

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Created by: kathrinmelcher
Created at: 2021-06-11
On NodePit since: 2021-08-06
Last update: 2024-04-27
Created with KNIME version: v4.4.0
Tags: CNNImage ClassificationDeep LearningKeras

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