The published literature on topology optimization has exploded over the last two decades to include methods that use shape and topological derivatives or evolutionary algorithms formulated various geometric representations parametrizations. One of key challenges all these is massive computational cost associated with 3D problems. We introduce a transfer learning method based convolutional neura...