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다음 전문 분야의 1개 강좌 중 1번째 강좌:

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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

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중급 단계

영어

자막: 영어

귀하가 습득할 기술

ForecastingMachine LearningTensorflowTime Seriesprediction

다음 전문 분야의 1개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

Sequences and Prediction

Hi Learners and welcome to this course on sequences and prediction! In this course we'll take a look at some of the unique considerations involved when handling sequential time series data -- where values change over time, like the temperature on a particular day, or the number of visitors to your web site. We'll discuss various methodologies for predicting future values in these time series, building on what you've learned in previous courses!

...
10 videos (Total 33 min), 3 readings, 3 quizzes
10개의 동영상
Time series examples4m
Machine learning applied to time series1m
Common patterns in time series5m
Introduction to time series4m
Train, validation and test sets3m
Metrics for evaluating performance2m
Moving average and differencing2m
Trailing versus centered windows1m
Forecasting4m
3개의 읽기 자료
Introduction to time series notebook10m
Forecasting notebook10m
Week 1 outro10m
1개 연습문제
Week 1 Quiz
2
완료하는 데 3시간 필요

Deep Neural Network for time series

Having explored time series and some of the common attributes of time series such as trend and seasonality, and then having used statistical methods for projection, let's now begin to teach neural networks to recognize and predict on time series!

...
10 videos (Total 27 min), 5 readings, 3 quizzes
10개의 동영상
Preparing features and labels4m
Preparing features and labels3m
Feeding windowed dataset into neural network2m
Single layer neural network2m
Machine learning on time windows37
Prediction2m
More on single layer neural network2m
Deep neural network training, tuning and prediction4m
Deep neural network3m
5개의 읽기 자료
Preparing features and labels notebook10m
Sequence bias10m
Single layer neural network notebook10m
Deep neural network notebook10m
Week 2 outro10m
1개 연습문제
Week 2 Quiz
3
완료하는 데 3시간 필요

Recurrent Neural Networks for time series

Recurrent Neural networks and Long Short Term Memory networks are really useful to classify and predict on sequential data. This week we'll explore using them with time series...

...
10 videos (Total 21 min), 5 readings, 3 quizzes
10개의 동영상
Conceptual overview2m
Shape of the inputs to the RNN2m
Outputting a Sequence1m
Lambda layers1m
Adjusting the learning rate dynamically2m
RNN1m
LSTM1m
Coding LSTMs2m
More on LSTM1m
5개의 읽기 자료
More info on Huber loss10m
RNN notebook10m
Link to the LSTM lesson10m
LSTM notebook10m
Week 3 outro10m
1개 연습문제
Week 3 Quiz
4
완료하는 데 3시간 필요

Real-world time series data

On top of DNNs and RNNs, let's also add convolutions, and then put it all together using a real-world data series -- one which measures sunspot activity over hundreds of years, and see if we can predict using it.

...
11 videos (Total 24 min), 5 readings, 3 quizzes
11개의 동영상
Convolutions58
Bi-directional LSTMs3m
LSTM1m
Real data - sunspots3m
Train and tune the model3m
Prediction1m
Sunspots1m
Combining our tools for analysis3m
Congratulations!38
Specialization outro - A conversation with Andrew Ng2m
5개의 읽기 자료
Convolutional neural networks course10m
More on batch sizing10m
LSTM notebook10m
Sunspots notebook10m
Course 4 outro10m
1개 연습문제
Week 4 Quiz

강사

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Laurence Moroney

AI Advocate
Google Brain

deeplearning.ai 정보

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

TensorFlow in Practice 전문 분야 정보

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July....
TensorFlow in Practice

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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