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03. Công thức cơ bản cho Học Máy - [Improving Deep Neural Networks]
21. Gradient Descent với động lượng - [Improving Deep Neural Networks]
36. Framework học sâu: Lựa chọn & Ứng dụng - [Improving Deep Neural Networks]
11. Khởi tạo trọng số cho mạng nơ-ron sâu - [Improving Deep Neural Networks]
01. Tập huấn luyện/phát triển/kiểm tra - [Improving Deep Neural Networks]
45. Tham số vs Siêu tham số (Deep Learning) - [Neural Networks and Deeplearning]
7. Dropout: Kỹ thuật chống quá khớp - [Improving Deep Neural Networks]
06. Dropout: Kỹ thuật chính quy hóa mạng nơ-ron - [Improving Deep Neural Networks]
37. TensorFlow: Lập trình cơ bản - [Improving Deep Neural Networks]
31. Chuẩn hóa Batch trong Mạng nơ-ron - [Improving Deep Neural Networks]
02. Độ chệch (Bias) và Phương sai (Variance) - [Improving Deep Neural Networks]
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Last Updated: October 3, 2026
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Summary
Đây là khóa học thứ 2 có tên là
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