Research on voiceprint recognition based on depth learning

2021 ◽  
Author(s):  
Yaowu Dun ◽  
Shuaijie Shan ◽  
Jianbao Liu
Keyword(s):  
Depth Learning

Stahl's Illustrated Antipsychotics

2010 ◽  
Author(s):  
Stephen M. Stahl ◽  
Laurence Mignon ◽  
Nancy Muntner
Keyword(s):  
Color Images ◽  
Visual Vocabulary ◽  
Full Color ◽  
Treatment Plans ◽  
Basic Biology ◽  
Text Version ◽  
User Friendly ◽  
Suggested Reading ◽  
Depth Learning

All of the titles in the Stahl's Illustrated series are designed to be fun. Concepts are illustrated by full-color images that will be familiar to all readers of Stahl's Essential Psychopharmacology, 3rd Edition and The Prescriber's Guide. The texts in this user-friendly series can be supplements to figures, images and tables. The visual learner will find that these books make psychopharmacology concepts easy to master, while the non-visual learner will enjoy a shortened text version of complex psychopharmacology concepts. Within each book, each chapter builds on previous chapters, synthesizing information from basic biology and diagnostics to building treatment plans and dealing with complications and comorbidities. Novices may want to approach the Stahl's Illustrated series by first looking through all the graphics and gaining a feel for the visual vocabulary. Readers more familiar with these topics should find that going back and forth between images and text provides an interaction with which to vividly conceptualize complex pharmacologies. And, to help guide the reader toward more in-depth learning about particular concepts, each book ends with a Suggested Reading section.

Stahl's Illustrated Mood Stabilizers

2009 ◽  
Author(s):  
Stephen M. Stahl ◽  
Nancy Muntner
Keyword(s):  
Color Images ◽  
Mood Stabilizers ◽  
Visual Vocabulary ◽  
Full Color ◽  
Treatment Plans ◽  
Basic Biology ◽  
Text Version ◽  
Suggested Reading ◽  
Depth Learning

All of the titles in the Stahl's Illustrated series are designed to be fun. Concepts are illustrated by full-color images that will be familiar to all readers of Stahl's Essential Psychopharmacology, 3rd Edition and The Prescriber's Guide. The visual learner will find that these books make psychopharmacology concepts easy to master, while the non-visual learner will enjoy a shortened text version of complex psychopharmacology concepts. Within each book, each chapter builds on previous chapters, synthesizing information from basic biology and diagnostics to building treatment plans and dealing with complications and comorbidities. Novices may want to approach Stahl's Illustrated series by first looking through all the graphics and gaining a feel for the visual vocabulary. Readers more familiar with these topics should find that going back and forth between images and text provides an interaction with which to vividly conceptualize complex pharmacologies. And, to help guide the reader toward more in-depth learning about particular concepts, each book ends with a Suggested Reading section.

scholarly journals Function Design for Inquiry-Based Learning Platform Based on a Computer Network

2017 ◽  
Vol 12 (02) ◽  
pp. 40
Author(s):  
Fang Ji ◽  
Hang Bo
Keyword(s):  
Computer Network ◽  
Learning Activities ◽  
Independent Research ◽  
Student Centered ◽  
Inquiry Based Learning ◽  
Cooperative Inquiry ◽  
Learning Platform ◽  
Function Design ◽  
Learning Modes ◽  
Depth Learning

This platform emphasizes the design of inquiry-based learning’s function and interaction and organization of information. In this platform, students can adopt independent research and cooperative learning modes and teachers can carry out remote guidance in the students’ learning activities, which improves the students’ innovation capabilities and the practical capabilities. This platform embodies the concept of inquiry-based learning and emphasizes the establishment of an ideal environment for in-depth learning, cooperative inquiry and announcing achievements. However, it cannot replace the teachers’ functions nor can it replace the students’ dominant positions, but it embodies student-centered and teacher-directed inquiry-based learning.

scholarly journals Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yin Xu ◽  
Hong Ma
Keyword(s):  
Deep Learning ◽  
Affordable Housing ◽  
Legal System ◽  
Learning Algorithm ◽  
Matching Algorithm ◽  
Advantages And Disadvantages ◽  
Housing Security ◽  
Law And Policy ◽  
Depth Learning ◽  
Text Matching

Machine learning enables machines to learn rules from a large amount of data input from the outside world through algorithms, so as to identify and judge. It is the main task of the government to further emphasize the importance of improving the housing security mechanism, expand the proportion of affordable housing, increase financial investment, improve the construction quality of affordable housing, and ensure fair distribution. It can be seen that the legal system of housing security is essentially a system to solve the social problems brought by housing marketization, and it is an important part of the whole national housing system. More and more attention has been paid to solving the housing difficulties of low- and middle-income people and establishing a housing security legal system suitable for China’s national conditions and development stage. Aiming at the deep learning problem, a text matching algorithm suitable for the field of housing law and policy is proposed. Classifier based on matching algorithm is a promising classification technology. The research on the legal system of housing security is in the exploratory stage, involving various theoretical and practical research studies. Compare the improved depth learning algorithm with the general algorithm, so as to clearly understand the advantages and disadvantages of the improved depth learning algorithm and depth learning algorithm. This paper introduces the practical application of the deep learning model and fast learning algorithm in detail. Creatively put forward to transform it into an independent public law basis or into an independent savings system.

Designing Situated Learning Experiences

2009 ◽  
pp. 255-272 ◽  
Author(s):  
Hokyoung Ryu
Keyword(s):  
Learning Environments ◽  
Mobile Learning ◽  
Situated Learning ◽  
Learning Activities ◽  
Learning Support ◽  
Empirical Testing ◽  
Course Materials ◽  
Location Aware ◽  
Early Exploration ◽  
Depth Learning

To ensure the success of future mobile learning environments, it is essential to develop affordable and effective applications that are well matched to the needs of the users. Depending on their unique requirements, effective mobile learning applications should keep up with their learning activities rather than simply providing them with conventional course materials on mobile devices. As an early exploration of this line of study, this chapter designs and evaluates a location-aware learning organizer that helps university students to manage their learning activities on campus. We confirmed that this situated learning support experience could lead to markedly different in-depth learning activities. Empirical testing of the learning organizer also revealed some potential opportunities for the learners to be more engaged in further mobile learning activities.

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