DL Network Executor
This node executes a deep learning network on a compatible external back end that can be selected by the user.
- Type: DLNetworkPortObject The deep learning network.
- Type: Data The input table.
- Type: Data The output table.
KNIME Deep Learning - Train MNIST classifierdeep learning Keras image classificationThis workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras.Examples > 04_Analytics > 14_Deep_Learning > 02_Keras
Fine-tune VGG16deep learning Keras image classificationIn this workflow we are fine-tuning a VGG1G network, similar to "Fine-tune VGG16 (Python)". However, we won't make use o…Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 04_Cats_and_Dogs
Train a MLPdeep learning TensorFlowThis workflow uses the TensorFlow Python bindings to create and train a multilayer perceptron using the Python API. The …Examples > 04_Analytics > 14_Deep_Learning > 03_TensorFlow
Read and Execute a SavedModel on MNISTdeep learning TensorFlowThis workflow reads a trained SavedModel for the MNIST dataset and executes it on test data.Examples > 04_Analytics > 14_Deep_Learning > 03_TensorFlow
Keras Autoencoder for Fraud Detection Deploymentautoencoder Keras neural network backpropagation deep learning encoder decoder reconstruction credit card data fraud detection anomaly detection generative model deployment predictionRead Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment d…Examples > 50_Applications > 39_Fraud_Detection
Generate Text Using a Many-To-One LSTM Network (Deployment)deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processingThe workflows generates text in fairy tale style. It reads the previously trained TensorFlow network and predicts a sequ…Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 11_Generate_Fairy_Tales
Wide and Deep Learning on the Census datasetdeep learning wide learning tensorflow keras machine learningThis workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…Examples > 04_Analytics > 14_Deep_Learning > 02_Keras
Semantic Segmentation with Deep Learning in KNIMEdeep learning image processing image analysis computer vision unet neural network segmentation semantic segmentation encoder decoder pixel classificationThis workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural networ…Examples > 04_Analytics > 14_Deep_Learning > 02_Keras
Neural Machine Translation from English to German: Deployment Workflowdeep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequenceThis is the deployment workflow of the encoder-decoder neural architecture for the Neural machine Translation model. It …Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 12_Machine_Translation
Keras Autoencoder for Fraud Detection Trainingautoencoder Keras neural network backpropagation deep learning encoder decoder reconstruction credit card data fraud detection anomaly detection generative model model training model evaluationPartition numeric input data into a training, test, and validation set. Normalize the data into range [0,1]. Build a Ker…Examples > 50_Applications > 39_Fraud_Detection
KNIME Labs > Deep Learning
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