Explore essential tensor operations in TensorFlow 2.0 through this 21-minute tutorial video. Learn about initialization methods, type casting, mathematical operations, indexing, and reshaping tensors. Build a strong foundation for neural network development with hands-on examples and clear explanations. Prerequisite knowledge of linear algebra is recommended for better understanding of the concepts covered.
Overview
Syllabus
- Introduction
- Imports
- Initialization methods for Tensors
- Casting to different types
- Mathematical Operations
- Indexing a Tensor
- Reshaping a Tensor
- Ending words
Taught by
Aladdin Persson
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