03_TensorFlow
This directory contains 5 workflows.
01_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 […]
02_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 […]
03_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 […]
04_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 […]
05_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 […]