Fine-tuning Convolutional Networks to Classify Dog Breeds

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

Create TensorFlow pipelines

Interpret model performance and ask poignant questions about the data

Fine-tune large-scale model on our niche dataset

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, you will learn how to approach an image classification task using TensorFlow. You will learn how to effectively preprocess your data to improve model generalizability, as well as build a performant modeling pipeline. Furthermore, you will learn how to accurately evaluate model performance using a confusion matrix; how to interpret results; and how to ask poignant questions about your dataset. Finally, you will fine-tune an existing, state-of-the-art-ready model to improve performance further. 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

  • Convolutional Neural Network
  • Machine Learning
  • Image Preprocessing
  • Tensorflow
  • Fine-tuning

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 the project and exploratory data analysis

  2. Convolutional Neural Network quickstart guide

  3. Dataset (image) preprocessing

  4. Building a performant model pipeline

  5. Designing and evaluating a basic Convolutional Neural Network

  6. Fine-tuning a large-scale model for our usecase

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

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常见问题

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