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{
"item_title" : "Multi-Faceted Deep Learning",
"item_author" : [" Jenny Benois-Pineau", "Akka Zemmari "],
"item_description" : "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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Multi-Faceted Deep Learning : Models and Data
by Jenny Benois-Pineau and Akka Zemmari
Other Available Formats
Overview
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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Details
- ISBN-13: 9783030744809
- ISBN-10: 3030744809
- Publisher: Springer
- Publish Date: October 2022
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.02 pounds
- Page Count: 316
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