Mxnet (48 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: very_good.

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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New. Second Edition, 367 pp., paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Paperback or Softback. Condición: New. R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition. Book.

Condición: New.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback or Softback. Condición: New. R Deep Learning Cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet. Book.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New.

Condición: New. In English.

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New.

Condición: New. In English.

Condición: New. In English.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condición: new. Paperback. Curious about artificial intelligence but feel lost at the first line of code? You're not alone-and this book is here to change that. If you've ever thought, "I want to understand deep learning, but I don't know where to begin," this friendly, beginner-focused guide was written with you in mind.Apache MXNet Deep Learning takes the intimidation out of AI and machine learning. Whether you're completely new to programming or just new to deep learning frameworks, this book offers a warm, approachable path into the powerful world of AI development using Apache MXNet-an open-source deep learning library backed by Amazon and designed for speed, flexibility, and scalability.No Experience? No Worries.This book assumes no technical background and no prior coding knowledge. It walks you through each concept step-by-step, explaining terms in plain English and guiding you with hands-on examples that make learning both clear and rewarding. It's more than a manual-it's your supportive companion in a new and exciting journey.What You'll Learn and Achieve: Understand Deep Learning Basics - Break down complex ideas like neural networks, backpropagation, and activation functions into digestible, beginner-friendly lessons. Build Real Projects with MXNet - Create practical applications like image classifiers, sentiment analysis tools, and predictive models using Python and MXNet's Gluon API. Master the MXNet Ecosystem - Get comfortable with key tools like NDArray, data iterators, and hybridization for efficient model training and deployment. Work With Real-World Data - Learn how to handle datasets, preprocess inputs, and evaluate models in real scenarios. Learn by Doing - Every chapter includes exercises, mini-projects, and checkpoints to help reinforce your progress and celebrate small wins. Mistake-Friendly Learning - We embrace trial and error, and help you troubleshoot, learn, and grow with confidence.Perfect For: Complete beginners eager to learn deep learningStudents, job seekers, or career changers exploring AI and data scienceDevelopers new to MXNet looking for a clear and structured introductionSelf-learners seeking an empowering, project-based approach to machine learningWhy Apache MXNet?While many books focus on TensorFlow or PyTorch, MXNet offers unique advantages for beginners and professionals alike-especially in terms of ease of use, hybrid programming, and native support on AWS. This book helps you unlock its full potential-without the overwhelm.Don't let the fear of complexity hold you back from exploring one of today's most exciting technologies.With Apache MXNet Deep Learning: A Beginner's Step-by-Step Guide, you'll gain not just technical skills, but the confidence to use them creatively and independently. You'll be surprised at how far you can go, and how much fun you'll have getting there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fachbuch aus dem Jahr 2021 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, AKAD University, ehem. AKAD Fachhochschule Stuttgart (Wirtschaftsinformatik), Sprache: Deutsch, Abstract: In diesem Assignment sollen die bekannten Deep Learning Frameworks TensorFlow, Keras, PyTorch, CNTK und MXNeT vorgestellt werden. Darüber hinaus soll geklärt werden, was ein Framework erfolgreich macht und welche Konsequenzen daraus folgen können. Dazu wird in der Folge auch das bereits eingestellte Framework Theano betrachtet. Zunächst werden grundlegende Begrifflichkeiten im Kontext von Deep Learning Frameworks definiert. Im Anschluss wird die grundsätzliche Funktionsweise von Deep Learning erläutert, danach werden die bekanntesten Deep Learning Frameworks vorgestellt und mögliche Erfolgskriterien bewertet.…

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2019-06-01 Publisher: Machinery Industry Press book is divided into four parts: The first part is to prepare papers (Chapters 1 to 2). briefly depth study related basic background knowledge. deep learning framework the development process and the advantages and disadvantages of MXNet and describing the construction and use of basic development environment docker help readers build the necessary foundation knowledge .…