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Accelerating TensorFlow with the Google Machine Learning Engine
magnet:?xt=urn:btih:799e10cf8934a798bb28da19d7d7968ebf10258a&dn=Accelerating TensorFlow with the Google Machine Learning Engine
磁力链接详情
Hash值:
799e10cf8934a798bb28da19d7d7968ebf10258a
点击数:
205
文件大小:
340.01 MB
文件数量:
42
创建日期:
2021-10-24 18:19
最后访问:
2024-7-9 05:03
访问标签:
Accelerating
TensorFlow
with
the
Google
Machine
Learning
Engine
文件列表详情
3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 22.14 MB
0.Introduction/01.Welcome.mp4 4.87 MB
0.Introduction/02.What you should know.mp4 2.64 MB
0.Introduction/03.Using the exercise files.mp4 2.12 MB
1.1. Introducing TensorFlow/04.Overview and installation.mp4 5.19 MB
1.1. Introducing TensorFlow/05.Getting started.mp4 3.67 MB
1.1. Introducing TensorFlow/06.Running a simple application.mp4 5.92 MB
2.2. Fundamentals of TensorFlow Development/07.Creating tensors.mp4 6.23 MB
2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.mp4 4.28 MB
2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.mp4 4.14 MB
2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.mp4 5.12 MB
2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9.42 MB
3.3. Training TensorFlow Applications/12.Variables and logging.mp4 7.16 MB
3.3. Training TensorFlow Applications/13.Using variables in code.mp4 5.94 MB
3.3. Training TensorFlow Applications/14.Using optimizers.mp4 9.73 MB
3.3. Training TensorFlow Applications/15.Simple optimizer example.mp4 10.04 MB
3.3. Training TensorFlow Applications/16.Batches and placeholders.mp4 5.37 MB
3.3. Training TensorFlow Applications/17.Linear regression in code - Part 1.mp4 6.12 MB
3.3. Training TensorFlow Applications/19.TensorBoard.mp4 5.28 MB
3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13.05 MB
4.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 8.7 MB
4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.mp4 12.35 MB
4.4. Accessing Data with Datasets/23.Dataset operations.mp4 7.61 MB
4.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8.27 MB
4.4. Accessing Data with Datasets/25.Introducing MNIST images.mp4 5.42 MB
4.4. Accessing Data with Datasets/26.Reading MNIST data in code.mp4 14.41 MB
5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.49 MB
5.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9.37 MB
5.5. Machine Learning with Estimators/29.Coding a simple estimator - Part 1.mp4 7.06 MB
5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.mp4 10.5 MB
5.5. Machine Learning with Estimators/31.Estimators and neural networks.mp4 6.17 MB
5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 15.37 MB
5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 16.92 MB
5.5. Machine Learning with Estimators/34.Automating estimator operation.mp4 5.42 MB
5.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 15.87 MB
6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9.1 MB
6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.mp4 8.39 MB
6.6. Deploying Estimators to the Machine Learning Engine/38.Introduction to Google Cloud Storage.mp4 4.58 MB
6.6. Deploying Estimators to the Machine Learning Engine/39.Accessing Cloud Storage in practice.mp4 5.93 MB
6.6. Deploying Estimators to the Machine Learning Engine/40.Machine Learning Engine.mp4 6.11 MB
6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.mp4 12.1 MB
7.Conclusion/42.Next steps.mp4 3.44 MB
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