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| Archived
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introduction-tensorflow.zip |
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2 - Core TensorFlow\09 - Evaluating a Tensor.mp4
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2 - Core TensorFlow\08 - Graph and Session.mp4
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2 - Core TensorFlow\11 - Tensors.mp4
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2 - Core TensorFlow\15 - Lab Solution.mp4
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2 - Core TensorFlow\22 - Demo -Debugging full programs.mp4
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2 - Core TensorFlow\13 - Lab Intro -Writing low-level TensorFlow programs.mp4
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2 - Core TensorFlow\07 - Lazy Evaluation.mp4
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2 - Core TensorFlow\04 - What is TensorFlow.mp4
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2 - Core TensorFlow\20 - Debugging full programs.mp4
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2 - Core TensorFlow\17 - Challenge - Shape problems.mp4
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2 - Core TensorFlow\03 - Introduction.mp4
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2 - Core TensorFlow\14 - [ML on GCP C3] Writing low-level TensorFlow programs.mp4
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2 - Core TensorFlow\16 - Introduction to Debugging TensorFlow Programs.mp4
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2 - Core TensorFlow\18 - Fixing shape problems.mp4
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2 - Core TensorFlow\05 - Benefits of a DAG.mp4
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2 - Core TensorFlow\06 - TensorFlow API Hierarchy.mp4
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2 - Core TensorFlow\21 - Demo Intro -Debugging full programs.mp4
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2 - Core TensorFlow\10 - Visualizing a graph.mp4
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2 - Core TensorFlow\12 - Variables.mp4
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2 - Core TensorFlow\19 - Data type problems.mp4
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3 - Estimator API\42 - [ML on GCP C3] Creating a distributed training TensorFlow model with Estimator API.mp4
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3 - Estimator API\37 - Monitoring with TensorBoard.mp4
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3 - Estimator API\27 - Checkpointing.mp4
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3 - Estimator API\33 - Lab Intro -Scaling up TensorFlow ingest using batching.mp4
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3 - Estimator API\34 - [ML on GCP C3] Scaling up TensorFlow ingest using batching.mp4
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3 - Estimator API\40 - Serving Input Function L15b.mp4
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3 - Estimator API\44 - Summary.mp4
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3 - Estimator API\30 - [ML on GCP C3] Implementing a Machine Learning model in TensorFlow using Estimator API.mp4
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3 - Estimator API\25 - Pre-made Estimators.mp4
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3 - Estimator API\43 - Lab Solution -Creating a distributed training TensorFlow model with Estimator API.mp4
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3 - Estimator API\38 - Demo -TensorBoard UI.mp4
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3 - Estimator API\36 - Big jobs, Distributed training.mp4
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3 - Estimator API\35 - Lab Solution -Scaling up TensorFlow ingest using batching.mp4
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3 - Estimator API\41 - Lab Intro -Creating a distributed training TensorFlow model with Estimator API.mp4
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3 - Estimator API\23 - Introduction.mp4
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3 - Estimator API\32 - Train on large datasets with Dataset API.mp4
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3 - Estimator API\26 - Demo -Housing Price Model.mp4
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3 - Estimator API\24 - Estimator API.mp4
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1 - Introduction\02 - Getting Started with Google Cloud Platform and Qwiklabs.mp4
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1 - Introduction\01 - Introduction.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\46 - Why Cloud AI Platform.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\48 - Monitoring Training Jobs.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\49 - Lab Intro -Scaling TensorFlow with Cloud AI Platform.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\50 - [ML on GCP C3] Scaling TensorFlow with Cloud MLE.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\45 - Introduction.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\51 - Lab Solution -Scaling TensorFlow with Cloud AI Platform.mp4
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4 - Scaling TensorFlow models with Cloud AI Platform\47 - Train a Model.mp4
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5 - Summary\52 - Summary.mp4
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2 - Core TensorFlow |
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