02_Keras
This directory contains 18 workflows.
01_Classify_images_using_InceptionV3
This workflow performs classification on some sample images using the InceptionV3 deep learning network architecture, trained on ImageNet, via Keras […]
02_Classify_images_using_ResNet50
This workflow performs classification on some sample images using the ResNet50 deep learning network architecture, trained on ImageNet, via Keras […]
03_Train_MNIST_classifier
This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. In order to run the example, please make sure you have the […]
05_Neural_Machine_Translation
Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by character and summarizes the sentence in […]
06_Semantic_Segmentation
This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural network for semantic segmentation. This […]
07_Sentiment_Analysis_with_Deep_Learning
This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used network learns a 128 dimensional […]