Description: Practical Deep Learning by Ron Kneusel A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If youve been curious about artificial intelligence and machine learning but didnt know where to start, this is the book youve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school math-the book will cover the rest. After an introduction to Python, youll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models performance.Youll also learn-How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how theyre trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratchYoull conduct experiments along the way, building to a final case study that incorporates everything youve learned.The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. Author Biography Ron Kneusel has been working in the machine learning industry since 2003 and has been programming in Python since 2004. He received a PhD in Computer Science from UC Boulder in 2016 and is the author of two previous books- Numbers and Computers and Random Numbers and Computers. Table of Contents Foreword by Michael C. Mozer, PhDAcknowledgmentsIntroductionChapter 1: Getting StartedChapter 2: Using PythonChapter 3: Using NumPyChapter 4: Working With DataChapter 5: Building DatasetsChapter 6: Classical Machine LearningChapter 7: Experiments with Classical ModelsChapter 8: Introduction to Neural NetworksChapter 9: Training A Neural NetworkChapter 10: Experiments with Neural NetworksChapter 11: Evaluating ModelsChapter 12: Introduction to Convolutional Neural NetworksChapter 13: Experiments with Keras and MNISTChapter 14: Experiments with CIFAR-10Chapter 15: A Case Study: Classifying Audio SamplesChapter 16: Going FurtherIndex Review "Practical Deep Learning with Python is the perfect book for someone looking to break into deep learning. This book achieves an ideal balance between explaining prerequisite introductory material and exploring nuanced subtleties of the methods described. The reader will come away with a solid foundational understanding of the content as well as the practical knowledge required to apply the methods to real-world problems. Deep learning will continue to enable many breakthroughs in artificial intelligence applications and this book covers all that is needed to springboard into this exciting field."—Matt Wilder, longtime neural network practitioner and owner of Wilder AI, a deep learning consulting company"Kneusels book tackles machine learning (classification) fantastically, helping anyone with an interest to learn and turning that interest into a skillset for future machine learning projects."–GeekDude, GeekTechStuff Promotional This book is for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction to deep learning using Python. Review Quote " Practical Deep Learning with Python is the perfect book for someone looking to break into deep learning. This book achieves an ideal balance between explaining prerequisite introductory material and exploring nuanced subtleties of the methods described. The reader will come away with a solid foundational understanding of the content as well as the practical knowledge required to apply the methods to real-world problems. Deep learning will continue to enable many breakthroughs in artificial intelligence applications and this book covers all that is needed to springboard into this exciting field." --Matt Wilder, longtime neural network practitioner and owner of Wilder AI, a deep learning consulting company Promotional "Headline" This book is for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction to deep learning using Python. Description for Sales People Deep learning is a hot topic: Googles search engine, voice recognition system, and self-driving cars rely on it. Gives professionals the ability to learn from unstructured data so they can deploy it in endless real-world applications Fills a gap: there are not many books for people without a strong maths background that focus on deep learning. Details ISBN1718500742 Author Ron Kneusel Language English ISBN-10 1718500742 ISBN-13 9781718500747 Format Paperback Short Title Practical Deep Learning Subtitle A Python-Based Introduction Imprint No Starch Press,US Place of Publication San Francisco Country of Publication United States AU Release Date 2021-02-23 NZ Release Date 2021-02-23 US Release Date 2021-02-23 Year 2021 Publication Date 2021-02-23 UK Release Date 2021-02-23 Illustrator Kevin Howdeshell Birth 1861 Death 1925 Affiliation Rick Ingrasci Position Illustrator Qualifications PsyD Publisher No Starch Press,US DEWEY 006.31 Audience General Pages 464 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141763968;
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ISBN-13: 9781718500747
Book Title: Practical Deep Learning
Publisher: No Starch Press,Us
Publication Year: 2021
Subject: Computer Science
Item Height: 234 mm
Number of Pages: 450 Pages
Language: English
Publication Name: Practical Deep Learning: a Python-Based Introduction
Type: Textbook
Author: Ron Kneusel
Item Width: 177 mm
Format: Paperback