COVID-19 mRNA Vaccine Degradation Prediction

提供方
Coursera Project Network
在此指导项目中,您将:

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中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

还有其他问题吗?请访问 学生帮助中心