Jochem Gietema - ebooki

Jochem Gietema is a Machine Learning Research Engineer at Onfido. He is experienced in developing and deploying machine learning models to solve real-world problems. He has a strong background in computer vision and natural language processing, with a focus on deep learning techniques. Jochem is passionate about advancing the state-of-the-art in machine learning and helping organizations to use it to improve their operations

Tytuły autora: Jochem Gietema dostępne w księgarni Helion

This book provides a comprehensive introduction to Bayesian deep learning methods for machine learning researchers and practitioners. It discusses the importance of uncertainty in machine learning, covers numerous methods for uncertainty-aware deep networks, and provides detailed code examples in Python to assist you throughout your exploration.
- PDF + ePub
Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python

Matt Benatan, Jochem Gietema, Marian Schneider

159.00 zł

Jochem Gietema - ebooki

Tytuły autora: Jochem Gietema dostępne w księgarni Helion

Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python

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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python