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)
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)
Screenshot
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
