通過條件
成 績 :60 分
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===111學年===
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2022 1215:
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2022 1227:
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2022 0202:
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2023 0220:
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2024 0226
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2024 0304
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2024 0311
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2024 0318
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2024 0325
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2024 0401
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2024 0415
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2024 0422
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2024 0429
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2024 0506
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2024 0513
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2024 0520
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2024 0527
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2024 0603
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2023 0306:
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2023 0313:
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2023 0320:
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2023 0327:
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2023 0410:
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2023 0417: (離線)
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2023 0424:
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2023 0501:
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2023 0508:
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2023 0515:
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2023 0522:
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2023 0529 RNN:
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2023 0605 Folding and Matmul:
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2023 0612 Review:
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2023 0619 On-Line Final Exam:
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- End of 111學年 -
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===110學年===
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寒假預訓課程
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221:類神經網路概論與基礎複習
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228:神經網路應用
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307: 低階(numpy+pure python)DNN設計
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314: Pre-learning, batch-learning (mp4)
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321: Low-Level (np+py) CNN Design (mp4)
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328:Pretraining & Learning Optimization
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404: Unity教學與E-2課程自修
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411:Model Quantiz. Approx. & Compress
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418: HLS AXI Lite
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425: Data-Flow Graph Design in HLS
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502: Recurrent Neural Network
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509:3D模擬環境為基礎之自駕車系統開發
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516:2-Stage Obj Detection: R-CNN
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Lab 07: AXI4DMA Stream IP Design
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523:1-Stage Obj Detection
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530:Recurrent NNs
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606:TAIWAN Online系統介紹
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613: 專題展示與評分
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620:專題式學習驗收與檢討
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20221215Workshop
- 課程介紹
- 課程安排
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