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[FreeCoursesOnline.Me] Coursera - convolutional-neural-networks

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视频 2019-4-29 01:36 2024-5-28 02:13 174 553.19 MB 44
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FreeCoursesOnline Me Coursera - convolutional-neural-networks

文件列表
  1. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.mp47.63MB
  2. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.mp413.91MB
  3. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.mp49.85MB
  4. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.mp411.94MB
  5. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.mp410.98MB
  6. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.mp412.89MB
  7. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.mp420.06MB
  8. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.mp410.39MB
  9. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.mp412.11MB
  10. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.mp415.91MB
  11. 01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.mp412.34MB
  12. 01_foundations-of-convolutional-neural-networks/03_heroes-of-deep-learning-optional/01_yann-lecun-interview.mp475.53MB
  13. 02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.mp44.67MB
  14. 02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.mp422.75MB
  15. 02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.mp49MB
  16. 02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.mp411.92MB
  17. 02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.mp48.19MB
  18. 02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.mp412.65MB
  19. 02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.mp411.37MB
  20. 02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.mp48.14MB
  21. 02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.mp411.57MB
  22. 02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mp412.43MB
  23. 02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.mp415.47MB
  24. 03_object-detection/01_detection-algorithms/01_object-localization.mp415.36MB
  25. 03_object-detection/01_detection-algorithms/02_landmark-detection.mp48.17MB
  26. 03_object-detection/01_detection-algorithms/03_object-detection.mp47.29MB
  27. 03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.mp414.44MB
  28. 03_object-detection/01_detection-algorithms/05_bounding-box-predictions.mp419.58MB
  29. 03_object-detection/01_detection-algorithms/06_intersection-over-union.mp45.47MB
  30. 03_object-detection/01_detection-algorithms/07_non-max-suppression.mp410.09MB
  31. 03_object-detection/01_detection-algorithms/08_anchor-boxes.mp413.47MB
  32. 03_object-detection/01_detection-algorithms/09_yolo-algorithm.mp49.07MB
  33. 03_object-detection/01_detection-algorithms/10_optional-region-proposals.mp48.8MB
  34. 04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.mp48.41MB
  35. 04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.mp45.88MB
  36. 04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.mp46.09MB
  37. 04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.mp419.71MB
  38. 04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.mp47.87MB
  39. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.mp42.99MB
  40. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.mp411.26MB
  41. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.mp45.2MB
  42. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.mp44.66MB
  43. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.mp416.36MB
  44. 04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.mp411.32MB
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