COVID-19 mRNA Vaccine Degradation Prediction

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Visualize and Understand Covid-19 mRNA Vaccine Sequence Data.

Build and Training a Model to make mRNA Vaccine Degradation Rate Predictions.

Evaluating the model and making predictions for the Degradation Rates.

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this 2-hour long project-based course, you will learn how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation. We will look at how to build a Bidirectional Gated Recurrent Units Neural Network which can predict the degradation for multiple scenarios at each of the base. We will cover how to train the model and evaluate on a test set. We will then finally make predictions using the trained model and compare it with the original degradation rates. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

Recurrent Neural NetworkArtificial Neural Networkkerasgated recurent units

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Introduction to Covid-19 mRNA Vaccine Dataset & the Model

  2. Understanding, Loading & Visualizing the Data

  3. Preprocessing the Data

  4. Building a Bidirectional Gated Recurrent Unit (GRU) Neural Network Model

  5. Training the Bidrectional GRU Model

  6. Evaluating the Model & Making Predictions

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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