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The Deep Learning Ai Playbook

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The Deep Learning Ai Playbook

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Author : Carlos Perez
language : en
Publisher: Lulu.com
Release Date : 2017-10-11

The Deep Learning Ai Playbook written by Carlos Perez and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-11 with Computers categories.

Just like any new technology, what perplexes many is the question of how to apply Deep Learning in a business context. Technology that is disruptive does not automatically imply that the development of valuable use cases are apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in that same situation with Deep Learning AI. The developments are mind-boggling but the monetization is far from being obvious.Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. Furthermore, the ramifications to society and even our own humanity can be immense. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI.

The Deep Learning Ai Playbook

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Author : Carlos Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-11

The Deep Learning Ai Playbook written by Carlos Perez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-11 with categories.

Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.

The Deep Learning Ai Playbook

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Author : Carlos E. Pérez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-19

The Deep Learning Ai Playbook written by Carlos E. Pérez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Artificial intelligence categories.

Artificial Intuition

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Author : Carlos Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-01-15

Artificial Intuition written by Carlos Perez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-15 with categories.

I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.

Artificial Intelligence Machine Learning And Deep Learning

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Author : Oswald Campesato
language : en
Publisher: Mercury Learning and Information
Release Date : 2020-01-23

Artificial Intelligence Machine Learning And Deep Learning written by Oswald Campesato and has been published by Mercury Learning and Information this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas

Lifelong Machine Learning

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Author : Zhiyuan Chen
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-08-14

Lifelong Machine Learning written by Zhiyuan Chen and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-14 with Computers categories.

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Powerhouse Proven Ai Playbook To 10x Your Business And Leadership Impact

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Author : Anurag Jain
language : en
Publisher: Clever Fox Publishing
Release Date :

Powerhouse Proven Ai Playbook To 10x Your Business And Leadership Impact written by Anurag Jain and has been published by Clever Fox Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.

Attention Aspiring Business Owners, Entrepreneurs, and Leaders: AI may not replace you, but someone using AI will. Don't get left behind! Are you ready to step into an AI-powered future? i) Ready to harness the power of Artificial Intelligence to 10x your growth? ii) Wondering how AI tools like CHATGPT can increase your productivity? iii) Seeking a proven playbook to integrate AI across Business functions like Market Research, Marketing, Sales, HR, Customer Support & more? iv) Looking for Actionable, AI-driven business templates tailored for your business as a Founder, Leader, or Aspiring Entrepreneur? v) Curious to learn about the practical application of AI to build a business from scratch and create wealth with limited resources? If you've nodded in agreement to any of the above, you're about to unlock the AI powerhouse within you. 10 Plug and Play AI Strategies for Entrepreneurs and Leaders: Crafted by a seasoned business expert, this playbook is your golden ticket to the AI-driven future. Strategically implement AI to skyrocket your growth. i) Unravel 10 proven strategies to Integrate AI into your Business. ii) Guaranteed to 10x your business and leadership impact. iii) Understand Best AI Tools, Prompt Engineering, Automation and more with AI. iv) Step-by-step playbook to Apply AI with 10 Live Examples of Launching different businesses like E-Commerce, D2C, Digital Marketing Agency, and more. v) AI handbook for Business Owners, Leaders, Entrepreneurs, and Students. BONUS: 10 ready-to-use AI-driven business launch templates! Who Needs this Book: Aspiring Entrepreneurs, Leaders, Career Professionals or Anyone aspiring to build their business or career with no prior experience. About the Author: Anurag Jain, a seasoned business leader, has spent over two decades building and consulting brands across diverse sectors like consumer, healthcare, e-commerce, fashion, travel, and tech. Click the BUY NOW button and gain proven guide on using AI to build or scale your business by 10x.

Deep Learning Interviews

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Author : Shlomo Kashani
language : en
Publisher:
Release Date : 2020-12-03

Deep Learning Interviews written by Shlomo Kashani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with categories.

Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam-specific topics and provide machine learning MSc/PhD students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they're framed within thought-provoking questions and engaging stories.

Artificial Neural Networks In Pattern Recognition

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Author : Luca Pancioni
language : en
Publisher: Springer
Release Date : 2018-08-29

Artificial Neural Networks In Pattern Recognition written by Luca Pancioni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.

This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The Deep Learning Ai Playbook

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