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🧠 Deep Learning Lab Practicals

Subject Code: BAI 3851

📌 About This Repository

This repository is created to store and maintain all practical files completed as part of the Deep Learning Lab (BAI 3851) course. It serves as a centralized location to upload, organize, and share lab practicals easily with faculty and for future reference.

📂 Repository Contents

  • Deep Learning lab practical programs
  • Experiment-wise implementations
  • Jupyter notebooks and Python scripts
  • Supporting files related to lab work

🎯 Objective

The main objective of this repository is to keep all Deep Learning lab practicals in one place, making them easily accessible for evaluation, revision, and record purposes.

🛠️ Tools & Technologies Used

  • Python
  • NumPy
  • Pandas
  • Matplotlib / Seaborn
  • TensorFlow / Keras (as per lab experiments)

📖 Usage

Each practical is uploaded according to the lab syllabus. Files can be accessed individually and executed as required.

📬 Note

This repository is intended strictly for academic and educational purposes.


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Deep Learning lab practicals repository containing Jupyter notebooks and Python implementations for BAI 3851 course experiments.

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