Coursera - Custom and Distributed Training with TensorFlow

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416.21 MB | 00:15:57 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 a-conversation-with-andrew-ng-overview-of-course-2  (34.26 MB)
01 what-is-a-tensor  (10.52 MB)
02 creating-tensors-in-code  (8.89 MB)
03 math-operations-with-tensors  (3.86 MB)
04 basic-tensors-code-walkthrough  (7.74 MB)
01 broadcasting-operator-overloading-and-numpy-compatibility  (9.95 MB)
02 evaluating-variables-and-changing-data-types  (10.59 MB)
01 gradient-tape  (5.97 MB)
03 gradient-descent-using-gradient-tape  (7.06 MB)
04 calculate-gradients-on-higher-order-functions  (6.1 MB)
05 persistent-true-and-higher-order-gradients  (5.23 MB)
06 gradient-tape-basics-code-walkthrough  (5.87 MB)
01 custom-training-loop-steps  (8.21 MB)
02 loss-and-gradient-descent  (5.37 MB)
03 define-training-loop-and-validate-model  (4.6 MB)
04 training-basics-code-walkthrough  (13.33 MB)
01 training-steps-and-data-pipeline  (9.39 MB)
02 define-the-training-loop  (7.02 MB)
03 gradients-metrics-and-validation  (6.31 MB)
05 fashion-mnist-custom-training-loop-code-walkthrough  (37.54 MB)
01 benefits-of-graph-mode  (8.33 MB)
02 generating-graph-code  (5.82 MB)
04 autograph-basics-code-walkthrough  (11.42 MB)
01 control-dependencies-and-flows  (5.53 MB)
02 loops-and-tracing-variables  (6.88 MB)
03 autograph-code-walkthrough  (22.08 MB)
01 intro-to-distribution-strategies  (11.36 MB)
02 types-of-distribution-strategies  (6.18 MB)
01 converting-code-to-the-mirrored-strategy  (9.3 MB)
02 mirrored-strategy-code-walkthrough  (11.85 MB)
01 custom-training-for-multiple-gpu-mirrored-strategy  (11.59 MB)
02 multi-gpu-mirrored-strategy-code-walkthrough  (32.42 MB)
01 tpu-strategy  (19.65 MB)
02 tpu-strategy-code-walkthrough  (31.64 MB)
01 other-distributed-strategies  (14.01 MB)

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