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· 제목 : Multi-Faceted Deep Learning: Models and Data (Hardcover, 2021) 
· 분류 : 외국도서 > 컴퓨터 > 쌍방향/멀티미디어
· ISBN : 9783030744779
· 쪽수 : 316쪽
· 출판일 : 2021-10-20
· 분류 : 외국도서 > 컴퓨터 > 쌍방향/멀티미디어
· ISBN : 9783030744779
· 쪽수 : 316쪽
· 출판일 : 2021-10-20
목차
1. Introduction.- 2. Deep Neural Networks: Models and methods.- 3. Deep learning for semantic segmentation.- 4. Beyond Full Supervision in Deep Learning.- 5. Similarity Metric Learning.- 6. Zero-shot Learning with Deep Neural Networks for Object Recognition.- 7. Image and Video Captioning using Deep Architectures.- 8. Deep Learning in Video Compression Algorithms.- 9. 3D Convolutional Networks for Action Recognition: Application toSport Gesture Recognition.- 10. Deep Learning for Audio and Music.- 11. Explainable AI for Medical Imaging:Knowledge Matters.- 12. Improving Video Quality with Generative Adversarial Networks.- 13. Conclusion.-
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