NodeKeras to TensorFlow Network Converter

Source

Converts a Keras deep learning model with TensorFlow backend to a TensorFlow model. TensorFlow models can be executed using the TensorFlow Java API which is usually faster then using a Python kernel to execute the model via the Keras Python API.

External Resources

Input Ports

  1. Port Type: Keras Deep Learning Network
    The Keras deep learning network.

Output Ports

  1. Port Type: TensorFlow Deep Learning Network
    The TensorFlow deep learning network.

  1. Translating from a Keras to TensorFlow (Sentiment Analysis)

    deep learning keras text classification classification lstm embedding text analysis sequence analysis sentiment analysis sequence classification neural network text processing
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The u…
    shima0011 > 04_Analytics > 14_Deep_Learning > 03_TensorFlow > 05_Translating_From_Keras_to_TensorFlow

  2. Translating from a Keras to TensorFlow (Sentiment Analysis)

    deep learning keras text classification classification lstm embedding text analysis sequence analysis sentiment analysis sequence classification neural network text processing
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The u…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 03_TensorFlow > 05_Translating_From_Keras_to_TensorFlow

  3. Neural Machine Translation from English to German: Training Workflow

    deep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequence NLP Natural Language Processing
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by chara…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 12_Machine_Translation > 01_Training_a_Neural_Machine_Translation_Model

  4. Wide and Deep Learning on the Census dataset

    deep learning wide learning tensorflow keras machine learning
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 09_Wide_and_Deep_Learning_on_Census_Dataset

  5. Generate Mountain Names (Training)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing NLP Natural Language Processing
    The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 10_Generate_Product_Names_With_LSTM > 01_Training

  6. Generate Mountain Namesn (Training)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 10_Generate_Product_Names_With_LSTM > 01_Training

  7. Generate Text Using a Many-To-One LSTM Network (Training)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive fairy tales. The brown nodes de…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 11_Generate_Fairy_Tales > 01_Training

  8. Neural Machine Translation from English to German: Training Workflow

    deep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequence
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by chara…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 12_Machine_Translation > 01_Training_a_Neural_Machine_Translation_Model

  9. Wide and Deep Learning on the Census dataset

    deep learning wide learning tensorflow keras machine learning
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 09_Wide_and_Deep_Learning_on_Census_Dataset

  10. Generate Mountain Names (Training)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes…
    kathrin > Forum_Question_How_to_Generate_Product_Names_with_my_own_list > 01_Training 2