Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive …
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on …
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Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from …
Dive into the world of deep learning with "Mastering TensorFlow," your comprehensive guide to harnessing the full potential of TensorFlow …
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages …
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, …
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to …
Create and unleash the power of neural networks by implementing C# and .Net code Key Features Get a strong foundation …
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and …
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examplesUpdated for PyTorch 2.x, including integration with Hugging …
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with …
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key Features Understand linear …