Classify Images of Cats and Dogs using Transfer Learning
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.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
The Threshold Is a Business Decision, Not a Statistical One
Medium · Machine Learning
Can Your Stress Level Predict How Much You Sleep?
Medium · Machine Learning
Role of Model Architecture In Inference — Inference Series
Medium · Machine Learning
Role of Model Architecture In Inference — Inference Series
Medium · Deep Learning
🎓
Tutor Explanation
DeepCamp AI