I've tried looking into some Keras documentation for what would be the correct key value. I am guessing the solution is figure out the correct parameter to replace val_mean_absolute_error. I get an error KeyError: 'val_mean_absolute_error' mae_history = history.history This guide trains a neural network model to classify images of clothing, like sneakers and shirts. History = model.fit(partial_train_data, partial_train_targets,Įpochs=num_epochs, batch_size=1, verbose=0) # Train the model (in silent mode, verbose=0) # Build the Keras model (already compiled) # Prepare the training data: data from all other partitions
# Prepare the validation data: data from partition # k
The project is to find the median price of homes in a given Boston suburbs in the 1970's.Īt section "Validating our approach using K-fold validation" I try to run this block of code: num_epochs = 500 I am on section 3.7 of Chollet's book Deep Learning with Python.
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