Self-Teaching. Basics of Artificial Intelligence in Examples on Python. 2nd ed.

Described are the tools for developing artificial intelligence applications. The basics of the Python programming language are provided. The main concepts and definitions of artificial intelligence are revealed. Issues related to the software implementation of neural network elements and the... construction of multilayer neural networks are considered. A significant focus is placed on the use of specialized libraries such as PyBrain, Scikit-learn, Keras, TensorFlow for structuring and training neural networks, and libraries like ImageAI and OpenCV for image processing. The material is illustrated with simple and clear examples demonstrating the use of pre-trained neural networks for object recognition in images, creating custom datasets, structuring the network, training it, and practical application. In the 2nd edition, the programming codes and library versions have been updated, illustrations improved, reader feedback taken into account, and errors corrected.
An electronic application-archive available on the publisher's website contains listings of the examples described in the book.