U-Net深入阿姆哈拉语，在这篇学士论文中，准确率飙升至93.37%。双量词揭示了我母语的美丽，凸显了深度学习的优势。
U-Net dives into Amharic , soaring to 93.37% accuracy in this Bachelor thesis. Dual classifiers unravel the beauty of my mother tongue , spotlighting deep learning s edge. (2024-04-20, Jupyter Notebook, 0KB, 下载0次)
存储库包含我在ITU与CEREBRIU公司合作的硕士论文的结果
Repository containing results of my MSc thesis at ITU in collaboration with CEREBRIU company (2024-04-17, Jupyter Notebook, 0KB, 下载0次)