Accelerating TensorFlow with the Google Machine Learning Engine | 799E10CF8934A798BB28DA19D7D7968EBF10258A

Accelerating TensorFlow with the Google Machine Learning Engine

Name	Accelerating TensorFlow with the Google Machine Learning Engine	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	356.8 MB
Total Files	84
Hash	799E10CF8934A798BB28DA19D7D7968EBF10258A

/3.3. Training TensorFlow Applications/
18.Linear regression in code - Part 2.mp4	23.2 MB
12.Variables and logging.en.srt	9.6 KB
12.Variables and logging.mp4	7.5 MB
13.Using variables in code.en.srt	5.0 KB
13.Using variables in code.mp4	6.2 MB
14.Using optimizers.en.srt	12.9 KB
14.Using optimizers.mp4	10.2 MB
15.Simple optimizer example.en.srt	7.7 KB
15.Simple optimizer example.mp4	10.5 MB
16.Batches and placeholders.en.srt	7.2 KB
16.Batches and placeholders.mp4	5.6 MB
17.Linear regression in code - Part 1.en.srt	6.8 KB
17.Linear regression in code - Part 1.mp4	6.4 MB
18.Linear regression in code - Part 2.en.srt	10.2 KB
19.TensorBoard.en.srt	6.9 KB
19.TensorBoard.mp4	5.5 MB
20.Using TensorBoard in practice.en.srt	9.2 KB
20.Using TensorBoard in practice.mp4	13.7 MB
/0.Introduction/
01.Welcome.mp4	5.1 MB
02.What you should know.en.srt	3.2 KB
02.What you should know.mp4	2.8 MB
03.Using the exercise files.en.srt	1.7 KB
03.Using the exercise files.mp4	2.2 MB
01.Welcome.en.srt	1.7 KB
/1.1. Introducing TensorFlow/
04.Overview and installation.en.srt	5.7 KB
04.Overview and installation.mp4	5.4 MB
05.Getting started.en.srt	4.7 KB
05.Getting started.mp4	3.9 MB
06.Running a simple application.en.srt	3.6 KB
06.Running a simple application.mp4	6.2 MB
/2.2. Fundamentals of TensorFlow Development/
07.Creating tensors.en.srt	8.3 KB
07.Creating tensors.mp4	6.5 MB
08.Basic tensor operations.en.srt	5.7 KB
08.Basic tensor operations.mp4	4.5 MB
09.Advanced tensor operations.en.srt	5.2 KB
09.Advanced tensor operations.mp4	4.3 MB
10.Understanding graphs and sessions.en.srt	6.9 KB
10.Understanding graphs and sessions.mp4	5.4 MB
11.Accessing graphs and sessions in code.en.srt	6.6 KB
11.Accessing graphs and sessions in code.mp4	9.9 MB
/4.4. Accessing Data with Datasets/
21.Datasets and iterators.en.srt	11.1 KB
21.Datasets and iterators.mp4	9.1 MB
22.Coding with datasets and iterators.en.srt	7.8 KB
22.Coding with datasets and iterators.mp4	12.9 MB
23.Dataset operations.en.srt	9.1 KB
23.Dataset operations.mp4	8.0 MB
24.Creating datasets from files.en.srt	10.4 KB
24.Creating datasets from files.mp4	8.7 MB
25.Introducing MNIST images.en.srt	6.3 KB
25.Introducing MNIST images.mp4	5.7 MB
26.Reading MNIST data in code.en.srt	7.0 KB
26.Reading MNIST data in code.mp4	15.1 MB
/5.5. Machine Learning with Estimators/
27.Understanding estimators.en.srt	10.8 KB
27.Understanding estimators.mp4	8.9 MB
28.Describing data with feature columns.en.srt	12.2 KB
28.Describing data with feature columns.mp4	9.8 MB
29.Coding a simple estimator - Part 1.en.srt	6.0 KB
29.Coding a simple estimator - Part 1.mp4	7.4 MB
30.Coding a simple estimator - Part 2.en.srt	6.0 KB
30.Coding a simple estimator - Part 2.mp4	11.0 MB
31.Estimators and neural networks.en.srt	7.6 KB
31.Estimators and neural networks.mp4	6.5 MB
32.Coding a DNN estimator - Part 1.en.srt	10.9 KB
32.Coding a DNN estimator - Part 1.mp4	16.1 MB
33.Coding a DNN estimator - Part 2.en.srt	7.8 KB
33.Coding a DNN estimator - Part 2.mp4	17.7 MB
34.Automating estimator operation.en.srt	6.6 KB
34.Automating estimator operation.mp4	5.7 MB
35.Estimator automation in practice.en.srt	8.2 KB
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
36.Creating a GCP project.mp4	9.5 MB
37.Installing the Cloud SDK.en.srt	5.9 KB
37.Installing the Cloud SDK.mp4	8.8 MB
38.Introduction to Google Cloud Storage.en.srt	5.0 KB
38.Introduction to Google Cloud Storage.mp4	4.8 MB
39.Accessing Cloud Storage in practice.en.srt	4.4 KB
39.Accessing Cloud Storage in practice.mp4	6.2 MB
40.Machine Learning Engine.en.srt	6.6 KB
40.Machine Learning Engine.mp4	6.4 MB
41.Deploying jobs to ML Engine.en.srt	8.5 KB
41.Deploying jobs to ML Engine.mp4	12.7 MB
/7.Conclusion/
42.Next steps.en.srt	1.8 KB
42.Next steps.mp4	3.6 MB
Total files 84