Computer vision is a technological area that’s been advancing rapidly thanks to the tremendous advances in artificial intelligence and deep learning that have taken place in the past few years. Neural networks now help self-driving cars to navigate around other cars, pedestrians, and other obstacles; and recommender agents are getting smarter about suggesting products that resemble other products. Face-recognition technologies are becoming more sophisticated, too, enabling smartphones to recognize faces before unlocking a phone or a door. Computer vision applications like these and others have become a staple in our daily lives. However, by moving beyond the simple recognition of objects, deep learning has given computers the power to imagine and create new things, like art that didn’t exist previously, new human faces, and other objects. Part 1 of this book looks at the foundations of deep learning, different forms of neural networks, and structured projects that go a bit further with concepts like hyperparameter tuning.