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1. |
Record Nr. |
UNISA996216639103316 |
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Titolo |
16th IEEE International Conference on Program Comprehension : 10-13 June 2008, Amsterdam, The Netherlands |
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Pubbl/distr/stampa |
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[Place of publication not identified], : IEEE Computer Society, 2008 |
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ISBN |
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Disciplina |
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Soggetti |
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Computer programs |
Software maintenance |
Engineering & Applied Sciences |
Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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2. |
Record Nr. |
UNINA9910795281003321 |
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Autore |
Atienza Rowel |
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Titolo |
Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza |
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Pubbl/distr/stampa |
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Birmingham, UK : , : Packt Publishing, , 2020 |
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ISBN |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (1 volume) : illustrations |
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Soggetti |
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Artificial intelligence |
Machine learning |
Python (Computer program language) |
Neural networks (Computer science) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key Features Explore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation Completely updated for TensorFlow 2.x Book Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance. Next, you'll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learn Use mutual information maximization techniques to perform unsupervised learning Use segmentation to identify the pixel-wise class of each object in an image Identify both the bounding box and class of objects in an image using object detection Learn the building blocks for advanced techniques - MLPss, CNN, and RNNs Understand deep neural networks - including ResNet and DenseNet Understand and build autoregressive models – autoencoders, VAEs, and GANs Discover and implement deep reinforcement learning methods Who this book is for This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be hel... |
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3. |
Record Nr. |
UNINA9910797302203321 |
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Autore |
Cherry Lynne |
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Titolo |
Empowering young voices for the planet / / Lynne Cherry, Juliana Texley, Suzanne Lyons |
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Pubbl/distr/stampa |
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Thousand Oaks, California : , : Corwin, , [2014] |
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�2014 |
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ISBN |
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1-4833-5912-3 |
1-4833-5911-5 |
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Descrizione fisica |
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1 online resource (xii, 143 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Climatic changes - Study and teaching - Activity programs |
Environmental education - Activity programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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""EMPOWERING YOUNG VOICES FOR THE PLANET-FRONT COVER""; ""EMPOWERING YOUNG VOICES FOR THE PLANET""; ""CONTENTS""; ""PREFACE""; ""ABOUT THE AUTHORS""; ""INTRODUCTION: THE YOUNG VOICES APPROACH TO TEACHING CLIMATE CHANGE""; ""PART I: IT�S HAPPENING NOW ALL OVER THE WORLD""; ""CHAPTER 1: ALEC LOORZ: KIDS VS GLOBAL WARMING""; ""CHAPTER 2: GIRL SCOUTS: LIGHTING THE COMMUNITY""; ""CHAPTER 3: TEAM MARINE AND A TIME MACHINE""; ""CHAPTER 4: ANYA: CITIZEN SCIENCE IN SIBERIA""; ""CHAPTER 5: FELIX: PLANTS FOR THE PLANET""; ""CHAPTER 6: GREEN AMBASSADORS""; ""CHAPTER 7: DREAMING IN GREEN"" |
""CHAPTER 8: OLIVIA�S BIRDS""""CHAPTER 9: LONGING FOR A LOCAL LUNCH""; ""PART II: MAKE IT HAPPEN IN A COMMUNITY NEAR YOU!""; ""APPENDIX I: REPRODUCIBLE STUDENT SHEETS""; ""APPENDIX II: TEACHER SUPPORT MATERIAL: ANSWERS TO STUDENT QUESTIONS AND LIST OF SELECTED STANDARDS""; ""APPENDIX III: RESOURCES FOR FURTHER EXPLORATION""; ""IMPORTANT TERMS RELATED TO CLIMATE CHANGE""; ""NOTES""; ""INDEX"" |
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Sommario/riassunto |
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This book is about teaching students the science and reality of climate change, while empowering them to respond effectively--and without fear. Inside this guide you'll find practical tips for inspiring students to |
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develop projects relevant to their own communities, including planning, financing, safety, and liability. |
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