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This repository was archived by the owner on Oct 25, 2026. It is now read-only.

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Deep learning architectures & neural network implementations from scratch in PyTorch (CNNs, RNNs, backprop, optimizers)

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Deep Learning Essentials (coursework)

Lab and case-study notebooks from the KIET B.Tech AI & ML deep learning course, kept as a single coursework record. These are course exercises, not portfolio projects.

Folder / file Contents
Lab 1.ipynb … Lab 8.ipynb Weekly lab notebooks
Case Study 1–3.ipynb Course case studies
merged-repos/ Notebooks consolidated from six earlier single-notebook repositories

Consolidated repositories

These repositories were merged here on 2026-10-15 and then removed from GitHub. Each notebook is copied unchanged from that repository's last commit.

Former repository Last commit Notebook
DL_LAB_CASE_STUDY_1 a0b9ba9 (2026-03-24) merged-repos/DL_LAB_CASE_STUDY_1/DL_Case_Study-1.ipynb
DL_LAB_CASE_STUDY_2 eacfc79 (2026-03-24) merged-repos/DL_LAB_CASE_STUDY_2/Dl_Case_Study-2.ipynb
DL_LAB_CASE_STUDY_3 eb03329 (2026-03-24) merged-repos/DL_LAB_CASE_STUDY_3/Dl-case-Study-3.ipynb
LAB-2_DL 52001a8 (2026-02-06) merged-repos/LAB-2_DL/Untitled1 (4).ipynb (neural network from scratch)
LAB-3_DL c63d715 (2026-02-22) merged-repos/LAB-3_DL/Harsh_Dubey_091_DL_lab-3.ipynb
Lab-1_ML 219552e (2026-01-30) merged-repos/Lab-1_ML/kiet-dl-lab-1.ipynb

The case-study notebooks in merged-repos/ are different revisions from the top-level Case Study files, so both are kept.

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Deep learning architectures & neural network implementations from scratch in PyTorch (CNNs, RNNs, backprop, optimizers)

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