Practical Explainable AI Using Python

Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks

Autori

• Pradeepta Mishra

Parametri

• 344 pagine
• 13 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

Focusing on the intricacies of AI decision-making, this book delves into biases and the reliability of algorithms, particularly within black-box models. It emphasizes enhancing adaptability, interpretability, and explainability of AI outputs. Readers will engage with practical frameworks, utilizing Python XAI libraries, TensorFlow 2.0+, Keras, and custom Python wrappers to better understand and improve AI predictions.

Lingua: Inglese

Pubblicato: 2021

(In brossura)