Accelerating TensorFlow with the Google Machine Learning Engine

磁力链接/BT种子名称

Accelerating TensorFlow with the Google Machine Learning Engine

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种子哈希：799e10cf8934a798bb28da19d7d7968ebf10258a
文件大小：340.29M
已经下载：1279次
下载速度：极快
收录时间：2018-07-28
最近下载：2026-01-05

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文件列表

  • 3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
  • 0.Introduction/01.Welcome.mp4 5.1 MB
  • 0.Introduction/02.What you should know.en.srt 3.2 kB
  • 0.Introduction/02.What you should know.mp4 2.8 MB
  • 0.Introduction/03.Using the exercise files.en.srt 1.7 kB
  • 0.Introduction/03.Using the exercise files.mp4 2.2 MB
  • 1.1. Introducing TensorFlow/04.Overview and installation.en.srt 5.7 kB
  • 1.1. Introducing TensorFlow/04.Overview and installation.mp4 5.4 MB
  • 1.1. Introducing TensorFlow/05.Getting started.en.srt 4.7 kB
  • 1.1. Introducing TensorFlow/05.Getting started.mp4 3.9 MB
  • 1.1. Introducing TensorFlow/06.Running a simple application.en.srt 3.5 kB
  • 1.1. Introducing TensorFlow/06.Running a simple application.mp4 6.2 MB
  • 2.2. Fundamentals of TensorFlow Development/07.Creating tensors.en.srt 8.3 kB
  • 2.2. Fundamentals of TensorFlow Development/07.Creating tensors.mp4 6.5 MB
  • 2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.en.srt 5.7 kB
  • 2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.mp4 4.5 MB
  • 2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.en.srt 5.2 kB
  • 2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.mp4 4.3 MB
  • 2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.en.srt 6.9 kB
  • 2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.mp4 5.4 MB
  • 2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.en.srt 6.6 kB
  • 2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9.9 MB
  • 3.3. Training TensorFlow Applications/12.Variables and logging.en.srt 9.6 kB
  • 3.3. Training TensorFlow Applications/12.Variables and logging.mp4 7.5 MB
  • 3.3. Training TensorFlow Applications/13.Using variables in code.en.srt 5.0 kB
  • 3.3. Training TensorFlow Applications/13.Using variables in code.mp4 6.2 MB
  • 3.3. Training TensorFlow Applications/14.Using optimizers.en.srt 12.9 kB
  • 3.3. Training TensorFlow Applications/14.Using optimizers.mp4 10.2 MB
  • 3.3. Training TensorFlow Applications/15.Simple optimizer example.en.srt 7.7 kB
  • 3.3. Training TensorFlow Applications/15.Simple optimizer example.mp4 10.5 MB
  • 3.3. Training TensorFlow Applications/16.Batches and placeholders.en.srt 7.2 kB
  • 3.3. Training TensorFlow Applications/16.Batches and placeholders.mp4 5.6 MB
  • 3.3. Training TensorFlow Applications/17.Linear regression in code - Part 1.en.srt 6.8 kB
  • 3.3. Training TensorFlow Applications/17.Linear regression in code - Part 1.mp4 6.4 MB
  • 3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.en.srt 10.2 kB
  • 0.Introduction/01.Welcome.en.srt 1.7 kB
  • 3.3. Training TensorFlow Applications/19.TensorBoard.en.srt 6.9 kB
  • 3.3. Training TensorFlow Applications/19.TensorBoard.mp4 5.5 MB
  • 3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.en.srt 9.2 kB
  • 3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13.7 MB
  • 4.4. Accessing Data with Datasets/21.Datasets and iterators.en.srt 11.1 kB
  • 4.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 9.1 MB
  • 4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.en.srt 7.8 kB
  • 4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.mp4 12.9 MB
  • 4.4. Accessing Data with Datasets/23.Dataset operations.en.srt 9.1 kB
  • 4.4. Accessing Data with Datasets/23.Dataset operations.mp4 8.0 MB
  • 4.4. Accessing Data with Datasets/24.Creating datasets from files.en.srt 10.4 kB
  • 4.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8.7 MB
  • 4.4. Accessing Data with Datasets/25.Introducing MNIST images.en.srt 6.3 kB
  • 4.4. Accessing Data with Datasets/25.Introducing MNIST images.mp4 5.7 MB
  • 4.4. Accessing Data with Datasets/26.Reading MNIST data in code.en.srt 7.0 kB
  • 4.4. Accessing Data with Datasets/26.Reading MNIST data in code.mp4 15.1 MB
  • 5.5. Machine Learning with Estimators/27.Understanding estimators.en.srt 10.8 kB
  • 5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.9 MB
  • 5.5. Machine Learning with Estimators/28.Describing data with feature columns.en.srt 12.2 kB
  • 5.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9.8 MB
  • 5.5. Machine Learning with Estimators/29.Coding a simple estimator - Part 1.en.srt 6.0 kB
  • 5.5. Machine Learning with Estimators/29.Coding a simple estimator - Part 1.mp4 7.4 MB
  • 5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.en.srt 6.0 kB
  • 5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.mp4 11.0 MB
  • 5.5. Machine Learning with Estimators/31.Estimators and neural networks.en.srt 7.6 kB
  • 5.5. Machine Learning with Estimators/31.Estimators and neural networks.mp4 6.5 MB
  • 5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.en.srt 10.9 kB
  • 5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 16.1 MB
  • 5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.en.srt 7.8 kB
  • 5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 17.7 MB
  • 5.5. Machine Learning with Estimators/34.Automating estimator operation.en.srt 6.6 kB
  • 5.5. Machine Learning with Estimators/34.Automating estimator operation.mp4 5.7 MB
  • 5.5. Machine Learning with Estimators/35.Estimator automation in practice.en.srt 8.2 kB
  • 5.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 16.6 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.en.srt 7.3 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9.5 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.en.srt 5.9 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.mp4 8.8 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/38.Introduction to Google Cloud Storage.en.srt 5.0 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/38.Introduction to Google Cloud Storage.mp4 4.8 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/39.Accessing Cloud Storage in practice.en.srt 4.4 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/39.Accessing Cloud Storage in practice.mp4 6.2 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/40.Machine Learning Engine.en.srt 6.6 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/40.Machine Learning Engine.mp4 6.4 MB
  • 6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.en.srt 8.5 kB
  • 6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.mp4 12.7 MB
  • 7.Conclusion/42.Next steps.en.srt 1.8 kB
  • 7.Conclusion/42.Next steps.mp4 3.6 MB

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