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06_​Convert_​from_​Keras_​to_​Tensorflow2

Convert a Network created with Keras to TensorFlow 2
Build a model using the Keras Layer nodes Option 1:Write to h5 and read as TensorFlow 2 Network. Option 2:Pass to a DL Python Network Editor with TensorFlow 2 installed in thePython envionment. Convert a Network created with Keras to TensorFlow 2This workflow shows how a model created with Keras can be converted to be used with the TensorFlow 2integration. This demonstrated by using a very small Keras network build with the Keras layer nodes.However, this method works for every Keras Network (trained or untrained).After the model is converted to TensorFlow 2 it can make use of the feature only available for TensorFlow 2like adding custom layers and TensorFlow Hub layers. Shape: (4)Units: 10Activation: ReLUUnits: 3Activation: SoftmaxWrite as h5Convert toTensorFlow 2Read asTF2 network Keras Input Layer Keras Dense Layer Keras Dense Layer Keras NetworkWriter DL PythonNetwork Editor TensorFlow 2Network Reader Build a model using the Keras Layer nodes Option 1:Write to h5 and read as TensorFlow 2 Network. Option 2:Pass to a DL Python Network Editor with TensorFlow 2 installed in thePython envionment. Convert a Network created with Keras to TensorFlow 2This workflow shows how a model created with Keras can be converted to be used with the TensorFlow 2integration. This demonstrated by using a very small Keras network build with the Keras layer nodes.However, this method works for every Keras Network (trained or untrained).After the model is converted to TensorFlow 2 it can make use of the feature only available for TensorFlow 2like adding custom layers and TensorFlow Hub layers. Shape: (4)Units: 10Activation: ReLUUnits: 3Activation: SoftmaxWrite as h5Convert toTensorFlow 2Read asTF2 networkKeras Input Layer Keras Dense Layer Keras Dense Layer Keras NetworkWriter DL PythonNetwork Editor TensorFlow 2Network Reader

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