| #1 |
Nguyễn Duy Khương |
Deep Learning for Sparse Big Data in Recommendation Systems |
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| #1 |
Đinh Quang Huy |
Xây dựng AI startup |
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| #2 |
Văn Phú Quang Huy, Tạ Đức Tùng, Khang Pham |
Gradient Descent Optimization Algorithms |
link |
| #3 |
Nguyễn Tuấn Dương, Nguyễn Phước Tất Đạt |
Generative Adversarial Networks (GANs) |
link |
| #4 |
Văn Phú Quang Huy |
KaoNet v2: Face Translation using CycleGAN |
link |
| #5 |
Văn Phú Quang Huy |
3 Challenges in Customer Feedback Classification |
link |
| #5 |
Bùi Hồng Hà |
From Hadoop to Data Ware House |
link |
| #6 |
Khang Phạm |
Word Embedding |
link |
| #7 |
Đỗ Minh Hải |
Recurent Neural Networks |
link |
| #8 |
Cao Vũ Dũng |
Sequence to Sequence Models: A Review |
link |
| #9 |
Trần Công Khanh |
HMM at a glance |
link |
| #9 |
Nguyễn Phước Tất Đạt |
An introduction to Mask-RCNN |
link |
| #10 |
Phong Nguyễn |
Deep Reinforcement Learning |
link |
| #10 |
Nguyễn Duy Khương |
Deep Reinforcement Learning for Recommendation Systems |
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| #11 |
Nguyễn Tuấn Dương |
Policy Gradients (PG) |
link |
| #11 |
Phan Doãn Phúc |
Triplet Loss – the Good the Bad and the Ugly |
link |