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Can I read Regularization in Deep Learning (MEAP V04) on EtoBox?
Regularization in Deep Learning (MEAP V04) by Peng Liu is a nonfiction available to read on EtoBox.
What is Regularization in Deep Learning (MEAP V04) about?
Make your deep learning models more generalized and adaptable! These practical regularization techniques improve training efficiency and help avoid overfitting errors. Regularization in Deep Learning teaches you how to improve your model performance with a toolbox of regularization techniques. It covers both well-established regularization methods and groundbreaking modern approaches. Each technique is introduced using graphics, illustrations, and step-by-step coding walkthroughs that make complex math easy to follow. You’ll learn how to augment your dataset with random noise, improve your model’s architecture, and apply regularization in your optimization procedures. You’ll soon be building focused deep learning models that avoid sprawling complexity and deliver more accurate results even with new or messy data sets.
Who reads Regularization in Deep Learning (MEAP V04)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Peng Liu
- Publisher
- Manning Publications Co. LLC
- Published
- 2022
- Language
- EN
- ISBN
- 9781633439610
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
Other editions & translations
More by Peng Liu
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