Closed OliverMathias closed 4 years ago
To get a visual graph, in your notebook you could run:
from IPython.display import SVG
from keras.utils.vis_utils import model_to_dot
SVG(model_to_dot(model).create(prog='dot', format='svg'))
If this doesn't work for you (has issues on windows) the summary is acceptable
Quick question about the HW, for 3.2 it asks us to "Plot the Model." Does that mean we should show the summary of the model? Or evaluate it and print the accuracy before training somehow?
Thanks!