Guide to the Keras Functional API, fchollet, 2023 - Official guide for defining complex Keras models, with details on multiple inputs/outputs and shared layers.
Deep Residual Learning for Image Recognition, Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, 2016Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE)DOI: 10.1109/CVPR.2016.90 - Presents residual connections, a model architecture shown as a primary application for the Functional API, enabling very deep network training.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Aurélien Géron, 2022 (O'Reilly Media) - A practical reference for building and training deep learning models using Keras and TensorFlow, including practical examples of the Functional API for various architectures.
tf.keras.Model class, TensorFlow Authors, 2024 (TensorFlow) - Documentation for the tf.keras.Model class, which combines inputs and outputs to create models defined via the Functional API.