Synthesis Lectures on Computer Vision

Ansicht: 4 Einträge

Katsushi Ikeuchi, Naoki Wake, Jun Takamatsu, Kazuhiro Sasabuchi
Learning-from-Observation 2.0

Synthesis Lectures on Computer Vision

This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the co…

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Machine Unlearning for Governance of Foundation Models

Synthesis Lectures on Computer Vision

This book provides a systematic and in-depth introduction to machine unlearning (MU) for foundation models, framed through an optimization--model--data tri-design perspective and complemented by assessmen…

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Lei Huang
Normalization Techniques in Deep Learning

Synthesis Lectures on Computer Vision

This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization abil…

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Yue Song, Thomas Anderson Keller, Nicu Sebe, Max Welling
Structured Representation Learning

Synthesis Lectures on Computer Vision

This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of …

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Aktueller Preis: EUR 47,99
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