jojo moolayil (9 Ergebnisse)

Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: new.

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

Paperback. Zustand: Brand New. 182 pages. 9.00x6.00x0.50 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook¿s Artificial Intelligence Research Group.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 324 pp. Englisch.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. Yoüll tackle one use case for regression and another for classification leveraging popular Kaggle datasets.Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, yoüll further hone your skills in deep learning and cover areas of active development and research in deep learning.At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.What Yoüll LearnMaster fast-paced practical deep learning concepts with math- and programming-friendly abstractions.Design, develop, train, validate, and deploy deep neural networks using the Keras frameworkUse best practices for debugging and validating deep learning modelsDeploy and integrate deep learning as a service into a larger software service or productExtend deep learning principles into other popular frameworksWho This Book Is ForSoftware engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 200 pp. Englisch.

Taschenbuch. Zustand: Neu. Learn Keras for Deep Neural Networks | A Fast-Track Approach to Modern Deep Learning with Python | Jojo Moolayil | Taschenbuch | xv | Englisch | 2018 | Apress | EAN 9781484242391 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.