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In this course, you will :
- Decide which deep learning method to use in which situation
- Understand how to construct a deep learning model to solve a real-world problem.
- Understand how to build a deep learning pipeline.
- Use deep learning knowledge to improve models using real-world data.
- Demonstrate ability to present and communicate deep learning project outcomes
Syllabus :
- Loading Data
- Data Preparation with PyTorch
- Linear Classifier PyTorch Review
- Pre-trained models with Resnet-18 Review PyTorch
