PyTorch: Tensor, Dataset and Data Augmentation
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Master PyTorch’s core concepts: tensors, datasets, and data augmentation. Learn to preprocess data and enhance model performance with advanced techniques in this comprehensive course.
At a Glance
Data preparation plays a crucial role in effectively solving machine learning (ML) problems. PyTorch, a powerful deep learning framework, offers a plethora of tools to make data loading easy. The PyTorch: Tensor, Dataset and Data Augmentation course will provide you with a solid understanding of the basics and core principles of PyTorch, specifically focusing on tensor manipulation, dataset management, and data augmentation techniques.
Syllabus
- Overview of Tensors
- Tensors 1D
- Two-Dimensional Tensors
- Derivatives in PyTorch
- Simple Dataset
- Dataset and Data Augmentation
Recommended Skills Prior to Taking this Course
- Basic knowledge of Python programming language.
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