01 welcome-to-course-3 (56.95 MB)
02 classification-and-object-detection-intro (8.32 MB)
03 segmentation-intro (4.95 MB)
01 why-transfer-learning (8.52 MB)
02 what-is-transfer-learning (9.46 MB)
03 options-in-transfer-learning (5.85 MB)
01 transfer-learning-with-resnet50 (6.77 MB)
02 resnet50-in-code (7.98 MB)
01 network-architecture-for-object-localization (7.33 MB)
02 evaluating-object-localization (5.51 MB)
01 object-detection-and-sliding-windows (13.74 MB)
03 r-cnn (5.21 MB)
04 fast-r-cnn (5.75 MB)
05 faster-r-cnn (4.24 MB)
01 getting-the-model-from-tensorflow-hub (4.1 MB)
03 running-the-model-on-an-image (5.64 MB)
01 installation-and-overview-of-apis (8.3 MB)
02 visualization-with-apis (6.49 MB)
01 loading-a-retinanet-model (10.76 MB)
03 loading-weights (8.22 MB)
04 data-prep-and-training-overview (5.8 MB)
05 custom-training-loop-code (7.86 MB)
01 image-segmentation-overview (8.51 MB)
02 popular-image-segmentation-architectures (6.89 MB)
04 fcn-architecture-details (8.73 MB)
05 upsampling-methods (4.93 MB)
06 encoder-in-code (5.39 MB)
08 decoder-in-code (7.73 MB)
09 evaluation-with-iou-and-dice-score (11.18 MB)
01 u-net-overview (9.39 MB)
03 u-net-code-encoder (4.95 MB)
04 u-net-code-decoder (4.66 MB)
01 instance-segmentation (7.75 MB)
01 why-interpretation-matters (14.17 MB)
02 class-activation-maps (6.42 MB)
03 fashion-mnist-class-activation-map-code-walkthrough (11.47 MB)
01 saliency (10.57 MB)
01 gradcam (10.68 MB)
01 zfnet (11.86 MB)