[TA 補充課] Graph Neural Network (1/2) (由助教姜成翰同學講授)

(39:2)

[TA 補充課] Self-supervised Learning (由助教劉記良同學講授)

(40:38)

[TA 補充課] More about Explainable AI (由助教楊書文同學講授)

(1:44:29)

[TA 補充課] More about Adversarial Attack (1/2) (由助教黃冠博同學講授)

(29:58)

[TA 補充課] More about Lifelong Learning (由助教楊舒涵同學講授)

(57:48)

[TA 補充課] More about Anomaly Detection (由助教林政豪同學講授)

(46:52)

[TA 補充課] More about Meta Learning (由助教陳建成同學講授) (1/2)

(44:9)

Effective English Listening Practice with Short Stories and Questions

(15:27)

【生成式AI導論 2024】第0講：課程說明 (17:15 有芙莉蓮雷)

(25:40)

DRL Lecture 2: Proximal Policy Optimization (PPO)

(41:34)

3分钟速通，部署满血版DeepSeek R1，免费、私有、流畅、快收藏！

(7:9)

ML Lecture 19: Transfer Learning

(1:14:29)

PyTorch Tutorial (由助教劉記良同學講授)

(52:39)

[DLHLP 2020] 來自獵人暗黑大陸的模型 GPT-3

(29:58)

Life Long Learning (7/7)

(11:35)

[DLHLP 2020] Overview of NLP Tasks

(1:28:47)

Batch Normalization

(28:58)

[TA 補充課] SAGAN, BigGAN, SinGAN, GauGAN, GANILLA, NICE-GAN (由助教吳宗翰同學講授)

(1:6:18)

[TA 補充課] More about Adversarial Attack (2/2) (由助教黃冠博同學講授)

(29:45)

[TA 補充課] Optimization for Deep Learning (1/2) (由助教簡仲明同學講授)

(54:36)

[TA 補充課] More about Domain Adaptation (2/2) (由助教楊晟甫同學講授)

(34:11)

[TA 補充課] RL - Model-based, Large-scale, Meta, Multi-agent, Hide-and-seek, Alpha Star (由助教林義聖同學講授)

(1:42:5)

[TA 補充課] More about Domain Adaptation (1/2) (由助教趙崇皓同學講授)

(52:1econd)

[TA 補充課] Network Compression (2/2): Network Pruning (由助教劉俊緯同學講授)

(39:33)

[TA 補充課] Graph Neural Network (2/2) (由助教姜成翰同學講授)

(1:11:37)

[TA 補充課] Optimization for Deep Learning (2/2) (由助教簡仲明同學講授)

(54:32)

[TA 補充課] Network Compression (1/2): Knowledge Distillation (由助教劉俊緯同學講授)

(1:7:53)

[TA 補充課] More about Meta Learning (由助教陳建成同學講授) (2/2)

(53:11)

[TA 補充課] Transformer and its variant (由助教紀伯翰同學講授)

(1:49:23)