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tensorflow-practice

This repository contains Python files based on the TensorFlow library, which I created as part of my learning journey. These files cover various concepts and techniques related to deep learning, such as:

  • Batch Normalization
  • Callbacks
  • Early Stopping
  • Regularization
  • Weights Initialization
  • Using Pre-trained models

Getting Started

To use the files in this repository, you'll need to have the following libraries installed on your machine. You can install these using pip:

pip install tensorflow
pip install numpy
pip install matplotlib
pip install scikit-learn
pip install pandas

Once you have installed all the libraries, simply clone this repository to your local machine and run the Python files using a Python interpreter.

Contributing

Feel free to contribute to this repository by opening an issue or submitting a pull request. If you notice any issues or errors in the code, please let me know by opening an issue.

Acknowledgments

  • Tensorflow Documentation

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