Icon

WIP Object Detection_​v3

Simple CNN for Image Classification

Exercise of the L4-DL Introduction to Deep Learning Course.

Train a CNN model to classify handwritten digit images with the correct number.
- Define network structure
- Prepare and read the dataset
- Preprocess images
- Train the model and evaluate performance

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

Unet Architecture Visualization of Test data This part creates an image with a default lable if there is no defect from unsignedbyte to floatGet Train/TestTop = training unlabeledbottom = training labeledget IDget IDtraining unlabeledtraining labeledInner JoinNode 177from unsignedbyte to floatconvert labelings to byteNode 225from unsignedbyte to floatNode 227Node 229Get Train/LabelGet Train/LabelNode 232training unlabeledget IDget IDNode 237training labeledfrom unsignedbyte to floatfrom unsignedbyte to floatTop = training unlabeledbottom = training labeledWrite subtable into workflow data areaNode 245Node 249Node 250Node 251Convert to StringRead Class 1TrainNode 260Node 261Node 262U-Net 2D -Encoding Layer Keras Input Layer Image Calculator Rule Engine Row Splitter String Manipulation String Manipulation Image Reader(Table) Image Reader(Table) Joiner Column Rename Image Calculator Image Converter InteractiveSegmentation View Keras Convolution2D Layer Keras NetworkLearner Keras NetworkExecutor U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer Row Filter Image Calculator Cell Replacer Image Viewer Rule Engine Rule Engine Column Rename Image Reader(Table) String Manipulation String Manipulation Joiner Image Reader(Table) Image Calculator Image Calculator Row Splitter Table Writer Table Reader GaussianConvolution Global Thresholder Image to Labeling Path to String List Files/Folders Row Splitter Row Sampling Joiner Unet Architecture Visualization of Test data This part creates an image with a default lable if there is no defect from unsignedbyte to floatGet Train/TestTop = training unlabeledbottom = training labeledget IDget IDtraining unlabeledtraining labeledInner JoinNode 177from unsignedbyte to floatconvert labelings to byteNode 225from unsignedbyte to floatNode 227Node 229Get Train/LabelGet Train/LabelNode 232training unlabeledget IDget IDNode 237training labeledfrom unsignedbyte to floatfrom unsignedbyte to floatTop = training unlabeledbottom = training labeledWrite subtable into workflow data areaNode 245Node 249Node 250Node 251Convert to StringRead Class 1TrainNode 260Node 261Node 262U-Net 2D -Encoding Layer Keras Input Layer Image Calculator Rule Engine Row Splitter String Manipulation String Manipulation Image Reader(Table) Image Reader(Table) Joiner Column Rename Image Calculator Image Converter InteractiveSegmentation View Keras Convolution2D Layer Keras NetworkLearner Keras NetworkExecutor U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Encoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer U-Net 2D -Decoding Layer Row Filter Image Calculator Cell Replacer Image Viewer Rule Engine Rule Engine Column Rename Image Reader(Table) String Manipulation String Manipulation Joiner Image Reader(Table) Image Calculator Image Calculator Row Splitter Table Writer Table Reader GaussianConvolution Global Thresholder Image to Labeling Path to String List Files/Folders Row Splitter Row Sampling Joiner

Nodes

Extensions

Links

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: 2022-06-15
Last update: 2024-04-27
Created with KNIME version: v4.5.2
Tags: deep learningKerasimage classificationeducationCNN

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!