Artificial Vision and Language Processing for Robotics 상세페이지
Artificial Vision and Language Processing for Robotics
Create end-to-end systems that can power robots with artificial vision and deep learning techniques
- 관심 0
소장
전자책 정가
15,000원
판매가
15,000원
출간 정보
- 2019.04.30 전자책 출간
듣기 기능
TTS(듣기) 미지원
파일 정보
- 356 쪽
- 5.7MB
지원 환경
- 앱
- 웹
- PC뷰어
- PAPER
ISBN
9781838557669
ECN
-
Artificial Vision and Language Processing for Robotics
작품 정보
▶What You Will Learn
⦁ Explore the ROS and build a basic robotic system
⦁ Understand the architecture of neural networks
⦁ Identify conversation intents with NLP techniques
⦁ Learn and use the embedding with Word2Vec and GloVe
⦁ Build a basic CNN and improve it using generative models
⦁ Use deep learning to implement artificial intelligence(AI)and object recognition
⦁ Develop a simple object recognition system using CNNs
⦁ Integrate AI with ROS to enable your robot to recognize objects
▶Key Features
⦁ Study ROS, the main development framework for robotics, in detail
⦁ Learn all about convolutional neural networks, recurrent neural networks, and robotics
⦁ Create a chatbot to interact with the robot
▶Who This Book Is For
Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
▶Audience
Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will be beneficial if you have a working knowledge of Python and a background in deep learning. Knowledge of ROS is a plus.
▶Approach
Artificial Vision and Language Processing for Robotics takes a practical approach to equip you with tools for creating systems that integrate computer vision and NLP to control a robot. The book is divided into three parts: NLP, computer vision, and robotics. It introduces advanced topics after a detailed introduction to the basics. It also contains multiple activities for you to practice and apply your new skills in a highly relevant context.
⦁ Explore the ROS and build a basic robotic system
⦁ Understand the architecture of neural networks
⦁ Identify conversation intents with NLP techniques
⦁ Learn and use the embedding with Word2Vec and GloVe
⦁ Build a basic CNN and improve it using generative models
⦁ Use deep learning to implement artificial intelligence(AI)and object recognition
⦁ Develop a simple object recognition system using CNNs
⦁ Integrate AI with ROS to enable your robot to recognize objects
▶Key Features
⦁ Study ROS, the main development framework for robotics, in detail
⦁ Learn all about convolutional neural networks, recurrent neural networks, and robotics
⦁ Create a chatbot to interact with the robot
▶Who This Book Is For
Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
▶Audience
Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will be beneficial if you have a working knowledge of Python and a background in deep learning. Knowledge of ROS is a plus.
▶Approach
Artificial Vision and Language Processing for Robotics takes a practical approach to equip you with tools for creating systems that integrate computer vision and NLP to control a robot. The book is divided into three parts: NLP, computer vision, and robotics. It introduces advanced topics after a detailed introduction to the basics. It also contains multiple activities for you to practice and apply your new skills in a highly relevant context.
작가 소개
⦁ Álvaro Morena Alberola
Álvaro Morena Alberola is a computer engineer and loves robotics and artificial intelligence. Currently, he is working as a software developer. He is extremely interested in the core part of AI, which is based on artificial vision. Álvaro likes working with new technologies and learning how to use advanced tools. He perceives robotics as a way of easing human lives; a way of helping people perform tasks that they cannot do on their own.
⦁ Gonzalo Molina Gallego
Gonzalo Molina Gallego is a computer science graduate and specializes in artificial intelligence and natural language processing. He has experience of working on text-based dialog systems, creating conversational agents, and advising good methodologies. Currently, he is researching new techniques on hybrid-domain conversational systems. Gonzalo thinks that conversational user interfaces are the future.
⦁ Unai Garay Maestre
Unai Garay Maestre is a computer science graduate and specializes in the field of artificial intelligence and computer vision. He successfully contributed to the CIARP conference of 2018 with a paper that takes a new approach to data augmentation using variational autoencoders. He also works as a machine learning developer using deep neural networks applied to images.
Álvaro Morena Alberola is a computer engineer and loves robotics and artificial intelligence. Currently, he is working as a software developer. He is extremely interested in the core part of AI, which is based on artificial vision. Álvaro likes working with new technologies and learning how to use advanced tools. He perceives robotics as a way of easing human lives; a way of helping people perform tasks that they cannot do on their own.
⦁ Gonzalo Molina Gallego
Gonzalo Molina Gallego is a computer science graduate and specializes in artificial intelligence and natural language processing. He has experience of working on text-based dialog systems, creating conversational agents, and advising good methodologies. Currently, he is researching new techniques on hybrid-domain conversational systems. Gonzalo thinks that conversational user interfaces are the future.
⦁ Unai Garay Maestre
Unai Garay Maestre is a computer science graduate and specializes in the field of artificial intelligence and computer vision. He successfully contributed to the CIARP conference of 2018 with a paper that takes a new approach to data augmentation using variational autoencoders. He also works as a machine learning developer using deep neural networks applied to images.
리뷰
0.0
구매자 별점
0명 평가
이 작품을 평가해 주세요!
건전한 리뷰 정착 및 양질의 리뷰를 위해 아래 해당하는 리뷰는 비공개 조치될 수 있음을 안내드립니다.
- 타인에게 불쾌감을 주는 욕설
- 비속어나 타인을 비방하는 내용
- 특정 종교, 민족, 계층을 비방하는 내용
- 해당 작품의 줄거리나 리디 서비스 이용과 관련이 없는 내용
- 의미를 알 수 없는 내용
- 광고 및 반복적인 글을 게시하여 서비스 품질을 떨어트리는 내용
- 저작권상 문제의 소지가 있는 내용
- 다른 리뷰에 대한 반박이나 논쟁을 유발하는 내용
* 결말을 예상할 수 있는 리뷰는 자제하여 주시기 바랍니다.
이 외에도 건전한 리뷰 문화 형성을 위한 운영 목적과 취지에 맞지 않는 내용은 담당자에 의해 리뷰가 비공개 처리가 될 수 있습니다.아직 등록된 리뷰가 없습니다.
첫 번째 리뷰를 남겨주세요!
첫 번째 리뷰를 남겨주세요!
'구매자' 표시는 유료 작품 결제 후 다운로드하거나 리디셀렉트 작품을 다운로드 한 경우에만 표시됩니다.
- 무료 작품 (프로모션 등으로 무료로 전환된 작품 포함)
- '구매자'로 표시되지 않습니다.
- 시리즈 내 무료 작품
- '구매자'로 표시되지 않습니다. 하지만 같은 시리즈의 유료 작품을 결제한 뒤 리뷰를 수정하거나 재등록하면 '구매자'로 표시됩니다.
- 영구 삭제
- 작품을 영구 삭제해도 '구매자' 표시는 남아있습니다.
- 결제 취소
- '구매자' 표시가 자동으로 사라집니다.
개발/프로그래밍 베스트더보기
- 주니어 백엔드 개발자가 반드시 알아야 할 실무 지식 (최범균)
- 조코딩의 AI 비트코인 자동 매매 시스템 만들기 (조동근)
- LLM 엔지니어링 (막심 라본, 폴 이우수틴)
- 요즘 우아한 AI 개발 (우아한형제들)
- 멀티패러다임 프로그래밍 (유인동)
- 윌 라슨의 엔지니어링 리더십 (윌 라슨, 임백준)
- 최고의 프롬프트 엔지니어링 강의 (김진중)
- 혼자 공부하는 네트워크 (강민철)
- 개발자를 위한 쉬운 쿠버네티스 (윌리엄 데니스, 이준)
- 러닝 랭체인 (메이오 오신, 누노 캄포스)
- 전략적 모놀리스와 마이크로서비스 (반 버논, 토마스 야스쿨라)
- MCP 혁신: 클로드로 엑셀, 한글, 휴가 등록부터 결재문서 자동화까지 with python (이호준, 차경림)
- 개정판 | 쉽고 빠르게 익히는 실전 LLM (시난 오즈데미르, 신병훈)
- OpenAI, 구글 Gemini, 업스테이지 Solar API를 활용한 실전 LLM 앱 개발 (최용, 조승우)
- 랭체인 & 랭그래프로 AI 에이전트 개발하기 (서지영)
- LLM을 활용한 실전 AI 애플리케이션 개발 (허정준, 정진호)
- 그림으로 이해하는 서버 구조와 기술 (요코타 카즈키, 엔도 유키)
- 혼자 만들면서 공부하는 딥러닝 (박해선)
- 이펙티브 소프트웨어 설계 (토마스 레렉, 존 스키트)
- CI/CD & GitOps 실전가이드 :argoCD vs fluxCD (commaum)
성인 인증 안내
성인 재인증 안내
성인 인증 안내
성인 재인증 안내
청소년보호법에 따라 성인 인증은 1년간
유효하며, 기간이 만료되어 재인증이 필요합니다.
성인 인증 후에 이용해 주세요.
해당 작품은 성인 인증 후 보실 수 있습니다.
성인 인증 후에 이용해 주세요.
청소년보호법에 따라 성인 인증은 1년간
유효하며, 기간이 만료되어 재인증이 필요합니다.
성인 인증 후에 이용해 주세요.
해당 작품은 성인 인증 후 선물하실 수 있습니다.
성인 인증 후에 이용해 주세요.
본문 끝 최상단으로 돌아가기
