상세정보 | 동명대학교 중앙도서관

메뉴 바로가기
본문 바로가기(skip to content)
검색 바로가기
도서관정보 바로가기

메세지가 없습니다

전체메뉴 닫기

상세정보

검색상세정보

Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi. [electronic resource]

Tang, Jeff

책이미지
서평쓰기: 서평쓰기

책이미지

QRcode

QRcode 사용방법

QRcode 사용방법

QR코드 정의: 사각형의 가로세로 격자무늬에 다양한 정보를 담고 있는 2차원(매트릭스)형식의 코드로 스마트폰으로 QR코드를 스캔하면 각종 정보를 제공 받을 수 있습니다.
QR코드 인식프로그램: 스마트폰 마켓에 들어가면 'QR코드 스캔 프로그램'을 검색해 무료 어플을 다운받아 사용하시면 됩니다.
도서정보 QR코드 이용하기: 도서 상세정보에서 QR코드를 스캔하면, 모바일 웹페이지로 연결되어 해당 도서의 상세정보 및 소장정보 등을 확인 할 수 있습니다.

상세정보
자료유형	E-BOOK
서명/저자사항	Intelligent Mobile Projects with TensorFlow [electronic resource]: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi./ Jeff Tang.
개인저자	Tang, Jeff,
발행사항	Birmingham: Packt Publishing, 2018.
형태사항	1 online resource (396 pages).
기타형태 저록	Print version: Tang, Xiaofei ""Jeff"". Intelligent Mobile Projects with TensorFlow : Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi. Birmingham : Packt Publishing, ©2018
ISBN	9781788628808 1788628802
일반주기	Training the drawing classification model.
내용주기	Cover; Copyright and Credits; Dedication; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Mobile TensorFlow; Setting up TensorFlow; Setting up TensorFlow on MacOS; Setting up TensorFlow on GPU-powered Ubuntu; Setting up Xcode; Setting up Android Studio; TensorFlow Mobile vs TensorFlow Lite; Running sample TensorFlow iOS apps; Running sample TensorFlow Android apps; Summary; Chapter 2: Classifying Images with Transfer Learning; Transfer learning -- what and why; Retraining using the Inception v3 model; Retraining using MobileNet models. Using the retrained models in the sample iOS appUsing the retrained models in the sample Android app; Adding TensorFlow to your own iOS app; Adding TensorFlow to your Objective-C iOS app; Adding TensorFlow to your Swift iOS app; Adding TensorFlow to your own Android app; Summary; Chapter 3: Detecting Objects and Their Locations; Object detection-a quick overview; Setting up the TensorFlow Object Detection API; Quick installation and example ; Using pre-trained models; Retraining SSD-MobileNet and Faster RCNN models; Using object detection models in iOS. Building TensorFlow iOS libraries manuallyUsing TensorFlow iOS libraries in an app; Adding an object detection feature to an iOS app; Using YOLO2-another object-detection model; Summary; Chapter 4: Transforming Pictures with Amazing Art Styles; Neural Style Transfer -- a quick overview; Training fast neural-style transfer models; Using fast neural-style transfer models in iOS; Adding and testing with fast neural transfer models; Looking back at the iOS code using fast neural transfer models; Using fast neural-style transfer models in Android. Using the TensorFlow Magenta multi-style model in iOSUsing the TensorFlow Magenta multi-style model in Android; Summary; Chapter 5: Understanding Simple Speech Commands; Speech recognition -- a quick overview; Training a simple commands recognition model; Using a simple speech recognition model in Android; Building a new app using the model; Showing model-powered recognition results; Using a simple speech recognition model in iOS with Objective-C; Building a new app using the model; Fixing model-loading errors with tf_op_files.txt; Using a simple speech recognition model in iOS with Swift.
요약	Chapter 6: Describing Images in Natural Language; Image captioning - how it works; Training and freezing an image captioning model; Training and testing caption generation; Freezing the image captioning model; Transforming and optimizing the image captioning model; Fixing errors with transformed models; Optimizing the transformed model; Using the image captioning model in iOS; Using the image captioning model in Android; Summary; Chapter 7: Recognizing Drawing with CNN and LSTM; Drawing classification - how it works; Training, predicting, and preparing the drawing classification model.
요약	Google TensorFlow is used to train all the models deployed and running on mobile devices. This book covers 10 projects on the implementation of all major AI areas on iOS, Android, and Raspberry Pi: computer vision, speech and language processing, and machine learning, including traditional, reinforcement, and deep reinforcement.
일반주제명	Raspberry Pi --Programming. GAMES / Board
언어	영어
바로가기	URL

소장정보

서비스 이용안내

서가에없는책
도서배달서비스
인쇄

메세지가 없습니다
No.	등록번호	청구기호	소장처	도서상태	반납예정일	예약	서비스	매체정보
1	EB57988	URL 참조794.81526	중앙도서관	대출가능
2	EB57987	URL 참조794.81526	중앙도서관	대출가능
3	EB57983	URL 참조794.81526	중앙도서관	대출가능
4	EB57985	URL 참조794.81526	중앙도서관	대출가능
5	EB57984	URL 참조794.81526	중앙도서관	대출가능
6	EB57986	URL 참조794.81526	중앙도서관	대출가능

청구기호 Browsing

이 분야 인기자료

날마다 한국어 초급. 1 = Everyday Korea...

손현미

박영사, 2024

빨모쌤의 라이브 영어회화 : 맥락과 뉘앙스가 살아나는 ...

신용하

웅진지식하우스: 웅진씽크빅, 2024

비타민 한국어. 3

조정순

다락원, 2017

Korean grammar : for speaking....

Song Won. 송원

Song Won, 2018

한국어의 말소리 = Korean phonetics an...

신지영

박이정, 2016

서평 (0 건)

*주제와 무관한 내용의 서평은 삭제될 수 있습니다.

서평추가

별점

*서평 입력 시 선택한 별점은 전체 별점에 반영됩니다.

제목입력

본문입력

태그

Tag List
Tag Cloud

Quick Menu

My Menu