Deep Learning Pipeline: Building a Deep Learning Model with Tensorflow
暫譯: 深度學習管道：使用 TensorFlow 建立深度學習模型
El-Amir, Hisham, Hamdy, Mahmoud
- 出版商: Apress
- 出版日期: 2019-12-21
- 售價: $1,720
- 貴賓價: 9.5 折 $1,634
- 語言: 英文
- 頁數: 551
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484253485
- ISBN-13: 9781484253489
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相關分類:
DeepLearning、TensorFlow
海外代購書籍(需單獨結帳)
商品描述
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects.
You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you
What You'll Learn
- Develop a deep learning project using data
- Study and apply various models to your data
- Debug and troubleshoot the proper model suited for your data
Who This Book Is For
Developers, analysts, and data scientists looking to add to or enhance their existing skills by accessing some of the most powerful recent trends in data science. Prior experience in Python or other TensorFlow related languages and mathematics would be helpful.
商品描述(中文翻譯)
建立您自己的管道，基於現代的 TensorFlow 方法，而非過時的工程概念。本書將向您展示如何為實際的 TensorFlow 專案構建深度學習管道。
您將學習什麼是管道以及它是如何運作的，這樣您就可以輕鬆快速地構建完整的應用程式。然後，排除故障並克服基本的 TensorFlow 障礙，以輕鬆創建功能性應用程式並部署訓練良好的模型。逐步且以範例為導向的指導將幫助您理解深度學習管道的每一步，同時您將應用最簡單且有效的工具來解決示範問題和數據集。
您還將通過準備數據、選擇適合該數據的模型以及調試您的模型以獲得最佳的數據擬合，來開發一個深度學習專案，所有這些都使用 TensorFlow 技術。通過接觸一些數據科學中最強大的最新趨勢來提升您的技能。如果您曾考慮建立自己的圖像或文本標記解決方案或參加 Kaggle 比賽，深度學習管道 將非常適合您。
您將學到什麼
- 使用數據開發深度學習專案
- 研究並將各種模型應用於您的數據
- 調試並排除適合您數據的正確模型
本書適合誰
開發人員、分析師和數據科學家，尋求通過接觸一些數據科學中最強大的最新趨勢來增強或提升他們現有的技能。具備 Python 或其他與 TensorFlow 相關的語言及數學的先前經驗將會有所幫助。
作者簡介
Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meetups, conferences, and other events.
Mahmoud Hamdy is a machine learning engineer who works in Egypt and lives in Egypt, His primary area of study is the overlap between knowledge, logic, language, and learning. He works helping train machine learning, and deep learning models to distil large amounts of unstructured, semi-structured, and structured data into new knowledge about the world by using methods ranging from deep learning to statistical relational learning. He applies strong theoretical and practical skills in several areas of machine learning to finding novel and effective solutions for interesting and challenging problems in such interconnections
作者簡介(中文翻譯)
希沙姆·艾拉米爾 (Hisham Elamir) 是一位數據科學家，專長於機器學習、深度學習和統計學。他目前居住並在埃及開羅工作。在他的工作項目中，他面臨的挑戰包括自然語言處理 (NLP)、行為分析、機器學習以及分散式處理。他對自己的工作充滿熱情，並始終努力保持對數據科學技術最新發展的了解，參加聚會、會議和其他活動。
馬哈茂德·哈姆迪 (Mahmoud Hamdy) 是一位機器學習工程師，居住並在埃及工作。他的主要研究領域是知識、邏輯、語言和學習之間的重疊。他的工作是幫助訓練機器學習和深度學習模型，將大量的非結構化、半結構化和結構化數據提煉成關於世界的新知識，使用的方法從深度學習到統計關係學習不等。他在多個機器學習領域應用強大的理論和實踐技能，以尋找有趣且具挑戰性的問題的創新和有效解決方案。
