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03_​TensorFlow

This directory contains 5 workflows.

Icon01_​Read_​And_​Execute_​a_​SavedModel_​on_​MNIST 

This workflow reads a trained SavedModel for the MNIST dataset and executes it on test data. In order to run the example, please make sure you have the […]

Icon02_​Training_​Tensorflow_​MLP 

This workflow uses the TensorFlow Python bindings to create and train a multilayer perceptron using the Python API. The trained network is then used to […]

Icon03_​Train_​MNIST_​classifier 

This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via TensorFlow. In order to run the example, please make sure you […]

Icon04_​Edit_​MNIST_​SavedModel 

This workflow shows how to edit a TensorFlow model using the TensorFlow Python API by adding an additional output to a model. The loaded model does […]

Icon05_​Translating_​From_​Keras_​to_​TensorFlow 

This first part of this workflow uses the Keras network built to do sentiment analysis on the IMDB data, translates it to a TensorFlow network, and uses the […]