deep-learning-with-keras-notebooks

Why we included this project

These notebooks started as one developer's personal record of learning Keras, and they read that way. If you are a student or a developer trying to get past the tutorial stage, the practical bits are useful: building a VGG network from scratch, augmenting small image datasets, and working with the COCO API. Later notebooks spread into object detection with YOLOv2, face recognition, and handling Chinese text with jieba and word embeddings, so you get a feel for several subfields rather than one narrow example. Since this is a set of notebooks rather than a library, treat it as a reference you can run and modify, not software to drop into production. The author also says plainly where a GPU helps, which is welcome honesty for anyone just starting out.