If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
제공자:
DeepLearning.AI TensorFlow 개발자 전문 자격증deeplearning.ai이 강좌에 대하여
최근 조회 379,450회
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100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
중급 단계
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
완료하는 데 약 18시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 터키어, 영어, 스페인어, 일본어
배울 내용
Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network
귀하가 습득할 기술
- Computer Vision
- Tensorflow
- Machine Learning
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
중급 단계
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
완료하는 데 약 18시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 터키어, 영어, 스페인어, 일본어
제공자:
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
A New Programming Paradigm
Welcome to this course on going from Basics to Mastery of TensorFlow. We're excited you're here! In Week 1, you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, and you'll pick the rest up as you go along. To get started, check out the first video, a conversation between Andrew and Laurence that sets the theme for what you'll study...
완료하는 데 3시간 필요
4개 동영상 (총 16분), 7 개의 읽기 자료, 4 개의 테스트
완료하는 데 5시간 필요
Introduction to Computer Vision
Welcome to week 2 of the course! In week 1 you learned all about how Machine Learning and Deep Learning is a new programming paradigm. This week you’re going to take that to the next level by beginning to solve problems of computer vision with just a few lines of code!
완료하는 데 5시간 필요
7개 동영상 (총 15분), 5 개의 읽기 자료, 3 개의 테스트
완료하는 데 5시간 필요
Enhancing Vision with Convolutional Neural Networks
Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we’ll see how to make it better, as discussed by Laurence and Andrew here.
완료하는 데 5시간 필요
6개 동영상 (총 19분), 5 개의 읽기 자료, 3 개의 테스트
완료하는 데 5시간 필요
Using Real-world Images
Last week you saw how to improve the results from your deep neural network using convolutions. It was a good start, but the data you used was very basic. What happens when your images are larger, or if the features aren’t always in the same place? Andrew and Laurence discuss this to prepare you for what you’ll learn this week: handling complex images!
완료하는 데 5시간 필요
9개 동영상 (총 27분), 10 개의 읽기 자료, 3 개의 테스트
검토
- 5 stars80.49%
- 4 stars15.74%
- 3 stars2.49%
- 2 stars0.66%
- 1 star0.59%
INTRODUCTION TO TENSORFLOW FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING의 최상위 리뷰
RD 제공2019년 8월 13일
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
PP 제공2021년 3월 10일
This is an introductory course on TensorFlow. The pace of the course is really good. I appreciate the pain that Prof. Andrew N G and Prof. Laurence have taken to construct and deliver this course.
KB 제공2020년 7월 18일
Great start to learn Tensorflow .But having knowledge on theoretical and mathematical aspects is important. Instructor was good and simplified his explanations for everyone to understand better.
JL 제공2020년 4월 5일
It's a good hands-on exercise. I like to see more link to keras api document when we introduce new function in keras. However, Tensorflow document regarding keras api is yet in complete. Thank you.
DeepLearning.AI TensorFlow 개발자 전문 자격증 정보
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.
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