| 书目名称 | Learn Keras for Deep Neural Networks | | 副标题 | A Fast-Track Approac | | 编辑 | Jojo Moolayil | | 视频video | | | 概述 | The shortest and fastest, yet effective and practical guide to embracing deep learning for beginners.Bypasses the complexities of math, calculus with simple lucid language.Eliminates the need for prof | | 图书封面 |  | | 描述 | .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. You’ll 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, you’ll further hone your skills in deep learning and cover areas of active development and research in deep learning. ..At | | 出版日期 | Book 2019 | | 关键词 | Deep Learning; Keras; Python; Learning algorithms; Machine learning; Deep neural network | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-4240-7 | | isbn_softcover | 978-1-4842-4239-1 | | isbn_ebook | 978-1-4842-4240-7 | | copyright | Jojo Moolayil 2019 |
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发表于 2025-3-21 18:42:12
