Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
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curiousily
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Hi, I got your data now, but i have a question, could you please share the raw-data or show the way how you process the data? Thank you very much....
```python input_layer = Input(shape=(input_dim, )) encoder = Dense(encoding_dim, activation="tanh", activity_regularizer=regularizers.l1(10e-5))(input_layer) encoder = Dense(int(encoding_dim / 2), activation="relu")(encoder) decoder = Dense(int(encoding_dim / 2), activation='tanh')(encoder) decoder = Dense(input_dim, activation='relu')(decoder) autoencoder = Model(inputs=input_layer, outputs=decoder)...
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iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data