- Machine Learning Projects for Mobile Applications
- Karthikeyan NG
- 189字
- 2021-06-10 19:41:35
Preface
Machine learning is a growing technique that focuses on the development of computer programs that can be changed or modified when exposed to new data. It has made significant advances that have enabled practical applications of machine learning (ML) and, by extension, the overall field of Artificial Intelligence (AI).
This book presents the implementation of seven practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning. We will be learning about the recent advancements in TensorFlow and its extensions, such as TensorFlow Lite, to design intelligent apps that learn from complex/large datasets. We will delve into advancements such as deep learning by building apps using deep neural network architecture such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), transfer learning, and much more.
By the end of this book, you will not only have mastered all the concepts of and learned how to implement machine learning and deep learning, but you will also have learned how to solve the problems and challenges faced while building powerful apps on mobile using TensorFlow Lite and Core ML.
- 用“芯”探核:龍芯派開發實戰
- INSTANT Wijmo Widgets How-to
- 電腦軟硬件維修從入門到精通
- VCD、DVD原理與維修
- 筆記本電腦應用技巧
- Intel Edison智能硬件開發指南:基于Yocto Project
- Blender 3D By Example
- 零基礎輕松學修電腦主板
- 快·易·通:2天學會電腦組裝·系統安裝·日常維護與故障排除
- 計算機組裝與維護項目化教程(第二版)
- Spring微服務實戰(第2版)
- OpenCV 4 Computer Vision Application Programming Cookbook(Fourth Edition)
- 多媒體技術教程
- Mastering TensorFlow 1.x
- 精選單片機設計與制作30例