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An Essay on Optimization Mystery of Deep Learning [PDF]

open access: yesarXiv, 2019
Despite the huge empirical success of deep learning, theoretical understanding of neural networks learning process is still lacking. This is the reason, why some of its features seem "mysterious". We emphasize two mysteries of deep learning: generalization mystery, and optimization mystery.
arxiv  

Learning to Sketch with Deep Q Networks and Demonstrated Strokes [PDF]

open access: yesarXiv, 2018
Doodling is a useful and common intelligent skill that people can learn and master. In this work, we propose a two-stage learning framework to teach a machine to doodle in a simulated painting environment via Stroke Demonstration and deep Q-learning (SDQ).
arxiv  

Modeling of Texture Development during Metal Forming Using Finite Element Visco-Plastic Self-Consistent Model

open access: yesCrystals
In directional forming processes, such as rolling and extrusion, the grains can develop preferred crystal orientations. These preferred orientations—the texture—are the main cause for material anisotropy. This anisotropy leads to phenomena such as earing,
Johannes Kronsteiner   +4 more
doaj   +1 more source

Study of Parameters Influencing Wrinkles in the Deep Drawing of Fiber-Based Materials Using Automatic Image Detection

open access: yesJournal of Manufacturing and Materials Processing
The evaluation of wrinkles in deep-drawn fiber-based materials is crucial for the assessment of product quality and the optimization of manufacturing processes.
Yuchen Leng   +5 more
doaj   +1 more source

Tailoring Thermal Energy Supply Towards the Advanced Control of Deformation Mechanisms in 3D Forming of Paper and Board

open access: yesJournal of Manufacturing and Materials Processing
The temperature of the tools and the moisture content of the material play a significant role in the 3D forming of paperboard in terms of the degree of forming and the quality of the formed part.
Leonard Vogt, Marek Hauptmann
doaj   +1 more source

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