COVID-19 mRNA Vaccine Degradation Prediction

提供方
Coursera Project Network
在此指導項目中,您將:

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
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Recurrent Neural Network
  • Artificial Neural Network
  • keras
  • gated recurent units

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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