A comprehensive Jupyter notebook covering TensorFlow fundamentals and tensor operations.
This repository contains a detailed exploration of TensorFlow concepts including:
- Tensor creation and manipulation
- Multi-dimensional tensors (2D, 3D, 4D)
- Tensor operations (reshape, slice, stack, etc.)
- Matrix operations (matrix multiplication, inverse, transpose)
- Advanced tensor operations (gather, scatter, pad, etc.)
- Attention mechanisms
- Linear algebra operations
- tensor_flow.ipynb - Main Jupyter notebook with code examples and explanations
- image.png - Supporting image resources
- Python 3.7+
- Jupyter Notebook
- Clone the repository:
git clone <repository-url>
cd tensor_flow- Install required packages:
pip install -r requirements.txt- Launch Jupyter Notebook:
jupyter notebook tensor_flow.ipynb- tensorflow
- numpy
Open the notebook and run cells sequentially to understand TensorFlow operations and tensor manipulations.
This project is licensed under the MIT License - see the LICENSE file for details.
Feel free to submit issues and enhancement requests!
Created as a learning resource for TensorFlow fundamentals.