Coursera - Custom Models, Layers, and Loss Functions with TensorFlow

397.31 MB | 00:06:03 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 a-conversation-with-andrew-ng-overview-of-the-specialization (41.08 MB)
02 a-conversation-with-andrew-ng-overview-of-course-1 (29.34 MB)
01 welcome-to-the-course (2.57 MB)
02 introduction-to-the-functional-apis (13.81 MB)
01 declaring-and-stacking-layers (8.73 MB)
02 branching-models (9.06 MB)
01 creating-a-multi-output-model (9.08 MB)
03 multi-output-code-walkthrough (18.22 MB)
01 siamese-network-a-multiple-input-model (6.53 MB)
03 coding-a-multi-input-siamese-network (6.06 MB)
05 siamese-network-code-walkthrough (25.02 MB)
01 welcome-to-week-2 (6.25 MB)
02 creating-a-custom-loss-function (4.64 MB)
04 coding-the-huber-loss-function (3.52 MB)
05 huber-loss-code-walkthrough (4.08 MB)
01 adding-hyperparameters-to-custom-loss-functions (8.41 MB)
02 turning-loss-functions-into-classes (4.63 MB)
03 huber-object-loss-code-walkthrough (7.46 MB)
01 contrastive-loss (6.31 MB)
03 coding-contrastive-loss (3.15 MB)
01 intro-custom-layers (5.9 MB)
02 introduction-to-lambda-layers (6.58 MB)
03 custom-functions-from-lambda-layers (5.98 MB)
04 exploring-custom-relu-with-lambda-layers (10.71 MB)
01 architecture-of-a-custom-layer (4.54 MB)
02 coding-your-own-custom-dense-layer (8.89 MB)
03 training-a-neural-network-with-your-custom-layer (5.2 MB)
04 custom-layer-code-walkthrough (11.2 MB)
01 activating-your-custom-layer (10 MB)
02 custom-layer-with-activation-code-walkthrough (9.92 MB)
01 intro-to-custom-models (6.52 MB)
02 complex-architectures-with-the-functional-api (5.83 MB)
03 coding-a-wide-and-deep-model (5.38 MB)
01 using-the-model-class-to-simplify-architectures (8.16 MB)
02 understanding-residual-networks (9.75 MB)
01 coding-a-residual-network-with-the-model-class (11.03 MB)
02 resnet-code-walkthrough (12.36 MB)
01 built-in-callbacks (10.37 MB)
01 custom-callbacks (13.62 MB)
02 custom-callbacks-code-walkthrough (12.06 MB)
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