名額
70
已選
9
餘額
61
選課分析
| 期中考 | 20 | |
| 期末考 | 20 | |
| 小考和作業 | 60 |
This course aims to equip students with the core theories and practical applications of deep learning. Students will understand the mathematical foundations and mechanisms of neural networks, explore mainstream model architectures, and develop hands-on skills to build, train, and optimize models using leading frameworks. Ultimately, students will be able to apply deep learning technologies to fields such as computer vision and natural language processing to solve complex real-world problems.
1.DEEP LEARNING 作者:Ian Goodfellow ; Yoshua Bengio ; Aaron Courville
2.深度學習 - 影像處理應用 作(編/譯)者:彭彥璁、李偉華、陳彥蓉
查詢過去本課程開課紀錄:
Deep Learning 歷史開課紀錄