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02_​Tensorflow2_​Autoencoder_​for_​Fraud_​Detection_​Training

Different options to train an autoencoder using TensorFlow 2
Define Network Architecture Using Keras Layer Nodes Define Network Architecture using TensorFlow2 Training and executing the network using TF2 Define Network Architecture Using Keras Layer Nodes Training the network using TF1 as backend for Keras and executing with TF2 Training and executing the network using TF2 Units: 20Activation: SigmoidUnits: 40Activation: SigmoidUnits: 40Activation: SigmoidUnits: 30Activation: SigmoidUnits: 20Activation: SigmoidShape: 30Units: 8Activation: SigmoidTrain using TF2Train using TF2Train with Keras networkWrite modelRead and Convert Keras ModelUnits: 40Activation: SigmoidUnits: 20Activation: SigmoidUnits: 30Activation: SigmoidUnits: 40Activation: SigmoidShape: 30Units: 8Activation: SigmoidUnits: 20Activation: SigmoidKeras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Input Layer Keras Dense Layer DL PythonNetwork Learner TensorFlow 2Network Executor Read and Preprocess Evaluate Evaluate TensorFlow 2Network Executor Read and Preprocess DL PythonNetwork Learner DL PythonNetwork Creator Keras NetworkLearner Keras NetworkWriter TensorFlow 2Network Reader Evaluate Keras Dense Layer Read and Preprocess Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Input Layer Keras Dense Layer Keras Dense Layer TensorFlow 2Network Executor Define Network Architecture Using Keras Layer Nodes Define Network Architecture using TensorFlow2 Training and executing the network using TF2 Define Network Architecture Using Keras Layer Nodes Training the network using TF1 as backend for Keras and executing with TF2 Training and executing the network using TF2 Units: 20Activation: SigmoidUnits: 40Activation: SigmoidUnits: 40Activation: SigmoidUnits: 30Activation: SigmoidUnits: 20Activation: SigmoidShape: 30Units: 8Activation: SigmoidTrain using TF2Train using TF2Train with Keras networkWrite modelRead and Convert Keras ModelUnits: 40Activation: SigmoidUnits: 20Activation: SigmoidUnits: 30Activation: SigmoidUnits: 40Activation: SigmoidShape: 30Units: 8Activation: SigmoidUnits: 20Activation: SigmoidKeras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Input Layer Keras Dense Layer DL PythonNetwork Learner TensorFlow 2Network Executor Read and Preprocess Evaluate Evaluate TensorFlow 2Network Executor Read and Preprocess DL PythonNetwork Learner DL PythonNetwork Creator Keras NetworkLearner Keras NetworkWriter TensorFlow 2Network Reader Evaluate Keras Dense Layer Read and Preprocess Keras Dense Layer Keras Dense Layer Keras Dense Layer Keras Input Layer Keras Dense Layer Keras Dense Layer TensorFlow 2Network Executor

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