04_TensorFlow2
This directory contains 8 workflows.
01_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 […]
02_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 […]
03_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 […]
04_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 […]
05_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 […]
06_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 […]
07_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/ * […]