Throughout this book, we have covered 10 end-to-end projects. We started our journey with an introduction to deep learning and finished at a factorization-machine based movie recommendation system project. In this section, we'll briefly review these projects, discuss potential limitations, and provide some future directions toward improvement and extension.
Discussion and outlook
Discussion on the completed projects
In between, we tried to cover several real-life projects from diverse domains such as healthcare, sentiment analysis in NLP, transfer learning, image and video classification, distributed deep learning and training, reinforcement learning, online trading, and real-life object detection from video. These are...
