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33 KNIME_​TransferLearning_​For_​Image_​Classification_​PlantVillageDataset_​V1

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.

CNN Network Architecture Read & Preprocss dataset Train & Apply Evaluate & Save Map category to indexCreate collectioncell with label indexEpochs: 20Batch Size: 16Normalizeimages80% training20% testingEvalutate the modelSave thetrained modelin a .h5 fileAppend classcolumnsResize to 256x256x3Append classcolumnsNormalizeimagesMap category to indexCreate collectioncell with label indexAppend classcolumnsResize to 256x256x3Import VGG16NormalizeimagesNode 360 Category To Number Create CollectionColumn Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Keras NetworkWriter Rule Engine Image Reader Image Resizer Rule Engine Image Calculator Category To Number Create CollectionColumn Image Reader Rule Engine Image Reader Image Resizer DL PythonNetwork Creator DL PythonNetwork Editor Image Calculator Column Appender CNN Network Architecture Read & Preprocss dataset Train & Apply Evaluate & Save Map category to indexCreate collectioncell with label indexEpochs: 20Batch Size: 16Normalizeimages80% training20% testingEvalutate the modelSave thetrained modelin a .h5 fileAppend classcolumnsResize to 256x256x3Append classcolumnsNormalizeimagesMap category to indexCreate collectioncell with label indexAppend classcolumnsResize to 256x256x3Import VGG16NormalizeimagesNode 360 Category To Number Create CollectionColumn Keras NetworkLearner Image Calculator Partitioning Keras NetworkExecutor Scorer Keras NetworkWriter Rule Engine Image Reader Image Resizer Rule Engine Image Calculator Category To Number Create CollectionColumn Image Reader Rule Engine Image Reader Image Resizer DL PythonNetwork Creator DL PythonNetwork Editor Image Calculator Column Appender

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