How neural network architectures like yolo are created?

Original article was published by /u/emadboctor on Deep Learning

Hello, I need recommendations on what sources of knowledge (books, papers, …) to look at if I am to create a new model architecture that is specific to a certain problem which is not necessarily a computer vision problem(ex: trading model). For those who are familiar with yolo which is a very well crafted object detection model, it contains many convolutional, shortcut, bn, maxpool, .. you name it layers that fit all together to form a model. I’m wondering what might be proper resources to look at to learn how to design a neural network with the same level of sophistication.

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