Hi I was wondering if it is possible to do the following (keras) into a similar manner with Nengo_dl simulator.
history = model.fit(X, Y, validation_split=0.33, epochs=150, batch_size=10, verbose=0)
plt.plot(history.history[‘accuracy’])
plt.plot(history.history[‘val_accuracy’])
My goal is to get the validation accuracies and training accuracies at each epoch.