Hands-On One-shot Learning with Python

Hands-On One-Shot Learning with Python will guide you through exploring and designing deep learning models that can grasp information about an object from one or only a few training examples. The book begins with an overview of deep learning and one-shot learning and then introduces you to the different methods you can use to achieve it, such as deep learning architectures and probabilistic models. Once you are well versed with the core principles, you'll explore some real-world examples and implementations of one-shot learning using scikit-learn and Keras 2.x in computer vision (CV), and natural language processing (NLP).
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