Marian Schneider - ebooki

Marian Schneider is a skilled Machine Learning Research Engineer who specializes in utilizing cutting-edge technology to solve real-world problems. She has extensive experience in various areas of machine learning including computer vision, natural language processing, and deep learning. Marian is dedicated to advancing the state-of-the-art in machine learning and is committed to helping organizations improve their operations by leveraging this technology.

Tytuły autora: Marian Schneider 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

Marian Schneider - ebooki

Tytuły autora: Marian Schneider 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