I'm writing a book on Deep Learning and Convolutional Neural Networks (and I need your advice). - PyImageSearch

Understand convolutions (and why they are so much easier to grasp than they seem). Study Convolutional Neural Networks (what they are used for, why we use them, etc.). Review the building blocks of Convolutional Neural Networks, including: Discover common network architecture patterns you can use to design architectures of your own with minimal frustration and headaches. Utilize out-of-the-box CNNs for classification that are pre-trained and ready to be applied to your own images/image datasets (VGG16, VGG19, ResNet50, etc.).