244.64 MB | 00:02:32 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 introduction-a-conversation-with-andrew-ng (18.36 MB)
02 introduction (2.54 MB)
04 serving (4.24 MB)
05 installing-tf-serving (1.33 MB)
08 tensorflow-serving-summary (3.22 MB)
01 setup-for-serving (4.92 MB)
02 serving (2.66 MB)
01 predictions (2.39 MB)
02 passing-data-to-serving (2.19 MB)
03 getting-the-predictions-back (3.31 MB)
05 running-the-colab (11.4 MB)
02 complex-model (8.01 MB)
01 introduction-a-conversation-with-andrew-ng (15.78 MB)
02 introduction-to-tf-hub (4.24 MB)
04 transfer-learning (2.15 MB)
06 inference (1.95 MB)
07 module-storage (4.05 MB)
01 text-based-models (3.38 MB)
02 word-embeddings (1.92 MB)
04 experimenting-with-embeddings (2.99 MB)
06 colab (5.88 MB)
01 classify-cats-and-dogs (4.41 MB)
03 transfer-learning (2.37 MB)
01 introduction-a-conversation-with-andrew-ng (16.51 MB)
02 tensorboard-scalars (5.28 MB)
04 callbacks (979.8 KB)
05 histograms (1.37 MB)
06 publishing-model-details (3.27 MB)
01 local-tensorboard (6.48 MB)
01 looking-at-graphics-in-a-dataset (6.61 MB)
02 more-than-one-image (1.29 MB)
03 confusion-matrix (4.8 MB)
04 multiple-callbacks (3.57 MB)
01 introduction-a-conversation-with-andrew-ng (17.43 MB)
02 training-on-mobile-devices (14.62 MB)
03 data-at-the-edge (7.27 MB)
04 how-it-works (4.61 MB)
01 maintaining-user-privacy (12.94 MB)
02 masking (4.58 MB)
01 apis-for-federated-learning (5.44 MB)
02 example-of-federated-learning (4.93 MB)
05 outro (7.06 MB)
02 introduction (2.54 MB)
04 serving (4.24 MB)
05 installing-tf-serving (1.33 MB)
08 tensorflow-serving-summary (3.22 MB)
01 setup-for-serving (4.92 MB)
02 serving (2.66 MB)
01 predictions (2.39 MB)
02 passing-data-to-serving (2.19 MB)
03 getting-the-predictions-back (3.31 MB)
05 running-the-colab (11.4 MB)
02 complex-model (8.01 MB)
01 introduction-a-conversation-with-andrew-ng (15.78 MB)
02 introduction-to-tf-hub (4.24 MB)
04 transfer-learning (2.15 MB)
06 inference (1.95 MB)
07 module-storage (4.05 MB)
01 text-based-models (3.38 MB)
02 word-embeddings (1.92 MB)
04 experimenting-with-embeddings (2.99 MB)
06 colab (5.88 MB)
01 classify-cats-and-dogs (4.41 MB)
03 transfer-learning (2.37 MB)
01 introduction-a-conversation-with-andrew-ng (16.51 MB)
02 tensorboard-scalars (5.28 MB)
04 callbacks (979.8 KB)
05 histograms (1.37 MB)
06 publishing-model-details (3.27 MB)
01 local-tensorboard (6.48 MB)
01 looking-at-graphics-in-a-dataset (6.61 MB)
02 more-than-one-image (1.29 MB)
03 confusion-matrix (4.8 MB)
04 multiple-callbacks (3.57 MB)
01 introduction-a-conversation-with-andrew-ng (17.43 MB)
02 training-on-mobile-devices (14.62 MB)
03 data-at-the-edge (7.27 MB)
04 how-it-works (4.61 MB)
01 maintaining-user-privacy (12.94 MB)
02 masking (4.58 MB)
01 apis-for-federated-learning (5.44 MB)
02 example-of-federated-learning (4.93 MB)
05 outro (7.06 MB)
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