TFcetera This repository serves as a personal playground for exploring and practicing deep learning concepts using TensorFlow. Here, you'll find code examples, experiments, and notebooks related to various deep learning techniques.

Getting Started:

Prerequisites: Ensure you have Python (version 3.6 or later) and TensorFlow installed. Refer to the official TensorFlow website (https://www.tensorflow.org/install/pip) for installation instructions.

Code Structure: Experiments/: This folder will house code for specific deep learning experiments, categorized by problem type (e.g., image classification, natural language processing).

Contributing: Feel free to use or adapt the code in this repository for your own learning purposes. While this is primarily a personal learning space, pull requests with improvements or interesting new experiments are welcome!

Disclaimer: This repository is intended for educational and practice purposes. The code might not be optimized for production use and may contain errors or inefficiencies.

Further Resources: TensorFlow Tutorials: https://www.tensorflow.org/tutorials TensorFlow Documentation: https://www.tensorflow.org/api_docs Deep Learning Book: https://www.deeplearningbook.org/ (Highly recommended!) I hope this repository proves to be a valuable resource for your deep learning journey with TensorFlow!