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Author: Joachim Diederich
Publisher: Springer
ISBN: 3642140289
Category : Technology & Engineering
Languages : en
Pages : 316
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Book Description
This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "chunking" of arbitrary feature conjunctions that co-occur in single presentations. The book starts with a comprehensive review of the historic background of recruitment learning, putting special emphasis on the ground-breaking work of D.O. Hebb, W.A.Wickelgren, J.A.Feldman, L.G.Valiant, and L. Shastri. Afterwards a thorough mathematical analysis of the model is presented which shows that recruitment is indeed a plausible mechanism of memory formation in the neocortex. A third part extends the main concepts towards state-of-the-art spiking neuron models and dynamic synchronization as a tentative solution of the binding problem. The book further discusses the possible role of adult neurogenesis for recruitment. These recent developments put the theory of recruitment learning at the forefront of research on biologically inspired memory models and make the book an important and timely contribution to the field.
Author: Joachim Diederich
Publisher: Springer
ISBN: 3642140289
Category : Technology & Engineering
Languages : en
Pages : 316
Get Book Here
Book Description
This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "chunking" of arbitrary feature conjunctions that co-occur in single presentations. The book starts with a comprehensive review of the historic background of recruitment learning, putting special emphasis on the ground-breaking work of D.O. Hebb, W.A.Wickelgren, J.A.Feldman, L.G.Valiant, and L. Shastri. Afterwards a thorough mathematical analysis of the model is presented which shows that recruitment is indeed a plausible mechanism of memory formation in the neocortex. A third part extends the main concepts towards state-of-the-art spiking neuron models and dynamic synchronization as a tentative solution of the binding problem. The book further discusses the possible role of adult neurogenesis for recruitment. These recent developments put the theory of recruitment learning at the forefront of research on biologically inspired memory models and make the book an important and timely contribution to the field.
Author: Greg Savage
Publisher: Major Street Publishing
ISBN: 0648515982
Category : Biography & Autobiography
Languages : en
Pages : 188
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Book Description
The Savage Truth is the story of Greg Savage, his stellar career in recruitment and the lessons he has learned on leadership, business and life over a career spanning four decades.The Savage Truth is a must-read for next generation leaders and lovers of business biography. It is a book in two parts. The first part covers Greg's early life - the people and events that shaped him - and follows his career path, which took him from his hometown of Cape Town around the world before settling in Sydney, Australia. He gives an honest, open, often humorous account of his experiences, which reflect how much business has changed over the past 40 years. In the second part of the book, Greg distils his learnings into guidance and advice for his successors in the recruitment industry and, more broadly, to anyone working in business. He covers topics including building a personal brand, negotiating fees and margins, people leverage, performance management, 'Savage' leadership skills and preparing for exit towards the end of your career.Throughout his fascinating career, Greg has learned countless lessons in leadership, business and in life. One of his greatest achievements is his success as a communicator. Greg is one of the most highly respected voices across the global recruitment and professional services industries, speaking regularly to audiences around the world. An early adopter of social media for recruiters, Greg's industry blog, The Savage Truth (gregsavage.com.au/the-savage-truth), is a must-read in the recruitment industry. In November 2018, he was named one of LinkedIn's 'Top Voices'.
Author: Robin Hoyle
Publisher: Kogan Page Publishers
ISBN: 0749469005
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
The training and development needs of any workforce vary dramatically between the generations and levels even so far as the style of communication needed to be effective.At the same time training budgets are tighter than ever before and training departments are increasing marginalised as informal learning in a cyber workplace grows. So how can you tackle the challenges of this environment effectively? Complete Training looks at the employee life cycle and posits a series of training challenges and opportunities relevant across each stage - from new hires to the éminence grise of the organisation - the objective is to enable learning and development practitioners to build individual capability and an organisation with a memory, continually learning from its own endeavours. By looking at how learning organisations succeed, complete training seeks to re-position L&D as central to the business, central to strategy and central to the organization's mission.
Author: Lawrence J. Gitman
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1455
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Book Description
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Jon Krohn
Publisher: Addison-Wesley Professional
ISBN: 0135121728
Category : Computers
Languages : en
Pages : 725
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Book Description
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: OECD
Publisher: OECD Publishing
ISBN: 926408746X
Category :
Languages : en
Pages : 220
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Book Description
An OECD study of vocational education and training designed to help countries make their systems more responsive to labour market needs. It expands the evidence base, identifies a set of policy options and develops tools to appraise VET policy initiatives.
Author: United States. Congress. Senate. Committee on Indian Affairs (1993- )
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 56
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Book Description
Author: Incomes Data Services
Publisher: Institute of Personnel & Development
ISBN:
Category : Business & Economics
Languages : en
Pages : 448
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Book Description
This third volume in the European Management Guides series provides information on employment practices and related law in the areas of recruitment, training and development. It is written by an experienced team of country specialists using national documentary sources and interviews with local practitioners.
Author: Katrina Collier
Publisher: Kogan Page Publishers
ISBN: 0749493232
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
FINALIST: Business Book Awards 2020 - HR & Management Category In a world of work where recruiters are constantly hearing that their role is at risk from AI, robotics and chatbots, it has never been more important to effectively attract and recruit the right people. Leveraging the power of social media and digital sourcing strategies is only part of the solution, and simply posting a job or sending a LinkedIn InMail is no longer enough. The Robot-Proof Recruiter shows you how to use the tools that reveal information that can be used to grab a potential candidate's attention among the overwhelming volume of material online. Full of expert guidance and practical tips, this book explains what works, what doesn't, and how you can stand out and recruit effectively in a world of technology overload. The Robot-Proof Recruiter will enable you to become the recruiter that candidates trust and the one they want to talk to. It contains essential guidance on overcoming obstacles - including how to recruit without an existing online presence, how to work effectively with hiring managers to improve the candidate experience, and how to use technology to support the candidate's journey from initial outreach, to application, to employee, and through to alumnus. This is an indispensable book for all recruitment professionals and HR practitioners who want to recruit the right people for their organization.
Author: Stefan Wermter
Publisher: Springer
ISBN: 3540464174
Category : Medical
Languages : en
Pages : 411
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Book Description
Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.
