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Classify Images of Cats and Dogs using Transfer Learning
Google via Google Cloud Skills Boost
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Overview
This hands-on course teaches learners how to build an image classifier that distinguishes between cats and dogs using transfer learning techniques. Using popular frameworks like Tensor Flow or Py Torch, learners will fine-tune pre-trained models, prepare datasets, and evaluate performance metrics. The course covers concepts such as convolutional neural networks (CNNs), data augmentation, and overfitting prevention. By completion, participants will have practical experience deploying efficient computer vision models with limited data, applicable to a wide range of classification problems.
Syllabus
- GSP900
- Overview
- Setup
- Task 1. Launch AI platform notebooks
- Task 2. Download lab notebook
- Task 3. Open and execute the notebook
- Congratulations!
Instructor
cloudskillsboost.google
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