14 results
- Go to itemThis workflows shows two options how the previously trained TensorFlow network to generate fairy tales can be used to generates t…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define t…0
- Go to itemThe workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 seque…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define t…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive fairy tales. The brown nodes define the …0
- Go to itemThe workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 seque…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive fairy tales. The brown nodes define the …0
- Go to itemThis workflows shows two options how the previously trained TensorFlow network to generate fairy tales can be used to generates t…0
- Go to itemThis workflow builds, trains, and saves an (many to many) RNN with an LSTM layer to generate new fictive mountain names. The brow…0
- Go to itemThe workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 seque…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define t…0
- Go to itemThe workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 seque…0
- Go to itemThe workflows generates text in fairy tale style. In the “Extract Index” metanode we use the probability distribution over all po…0
- Go to itemThe workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive fairy tales. The brown nodes define the …0