Summary

In this chapter, you learned how to download pre-trained neural networks and use them on custom computer vision problems. You learned to classify images using Inception V3 and MobileNet, analyze network structures, and create feature extractors. Last but not least, you applied the transfer-learning technique and reached 90% on a Caltech 101 dataset.

In the next chapter, we will cover more advanced topics, such as image segmentation and image captioning using neural networks.