Classify Images of Cats and Dogs using Transfer Learning

在此項目中,您將:
1 hour
初級
無需下載
可分享的證書
英語(English)
僅限桌面

This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This lab uses transfer learning to train your machine. In transfer learning, when you build a new model to classify your original dataset, you reuse the feature extraction part and re-train the classification part with your dataset. This method uses less computational resources and training time. Deep learning from scratch can take days, but transfer learning can be done in short order.

您要培養的技能

  • Tensorflow

  • Machine Learning

  • Machine Learning Applications

  • JupyterLab

項目工作原理

在交互式實踐環境中學習新工具或新技能

您將能夠訪問云工作空間中的軟件和工具 - 無需下載

提供方

Placeholder

Google 云端平台

常見問題