Some bugfixes in "advanced layer types"

episodes/4-advanced-layer-types.Rmd

@@ -494,8 +494,8 @@ As you can see this model has 1.5x more parameters than our simple CNN, let's tr
 ```python
 compile_model(dense_model)
 history = dense_model.fit(train_images, train_labels, epochs=30,
-                    validation_data=(test_images, test_labels))
-plot_history(['accuracy', 'val_accuracy'])
+                    validation_data=(val_images, val_labels))
+plot_history(history, ['accuracy', 'val_accuracy'])
 ```
 ![](fig/04_dense_model_training_history.png){alt="Plot of training accuracy and validation accuracy vs epochs for a model with only dense layers"}