|
FOYDALANILGAN ADABIYOTLAR ROʻYXATI
|
bet | 4/4 | Sana | 12.12.2023 | Hajmi | 209,29 Kb. | | #116613 |
Bog'liq 1-MI(ITM)FOYDALANILGAN ADABIYOTLAR ROʻYXATI
Николенко С. Глубокое обучение / С. Николенко, А. Кадурин, Е. Архангельская. СПб.: Питер, 2018. 480 с.
Андреас М. Введение в машинное обучение с помощью Python. Руководство для специалистов по работе с данными. М.: Альфа-книга, 2017. 487 c.
Chen Y., Guo M., Wang Z. An improved algorithm for human activity recognition using wearable sensors. 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2016. С. 248-252.
Ullah A. et al. Action recognition in video sequences using deep bidirectional LSTM with CNN features. IEEE access. 2017. Т. 6. С. 1155-1166.
Sargano A. B., Angelov P., Habib Z. A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition. Applied sciences. 2017. Т. 7. №. 1. С. 110.
Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C. MobilenetV2: inverted residuals and linear bottlenecks. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition – 2018.
Pigou L. et al. Beyond temporal pooling: Recurrence and temporal convolutions for gesture recognition in video. International Journal of Computer Vision. 2018. Т. 126. № 2. С. 430-439.
|
| |