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04_​TensorFlow2

This directory contains 8 workflows.

Icon01_​BERT_​Sentiment_​Analysis 

Sentiment Analysis with BERT This workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight […]

Icon02_​Tensorflow2_​Autoencoder_​for_​Fraud_​Detection_​Training 

Different options to train an autoencoder using TensorFlow 2 This workflow shows the different options of training and executing a network using TF2 on […]

Icon03_​Tensorflow2_​CellSegmentation 

Cell Segmentation This workflow uses Tensorflow2 to create and train a Unet for segmenting cell images. The trained network is used to predict the […]

Icon04_​Train_​a_​MLP 

Train a simple Multilayer Perceptron using TensorFlow 2 This workflow shows how to train a simple multilayer perceptron for classification. It is […]

Icon05_​Use_​a_​TFHub_​Model 

Use a TensorFlow Hub model for TensorFlow 2 This workflow shows how a model from the TensorFlow Hub can be used in KNIME. MobileNet is used to predict […]

Icon06_​Convert_​from_​Keras_​to_​Tensorflow2 

Convert a Network created with Keras to TensorFlow 2 This workflow shows how a model created with Keras can be converted to be used with the TensorFlow 2 […]

Icon07_​GAN_​MNIST_​Digit_​Generator 

This workflow trains a Deep Convolutional Generative Adversarial Network (DCGAN) that learns to create digits similar to MNIST. As the name implies, the […]

Load TensorFlow Hub Model 

Loads a Model from the TensorFlow Hub and wraps it into a Network with the defined inputs and the outputs of the Hub model. See https://tfhub.dev/ * […]