TensorFlow: Difference between revisions
From charlesreid1
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Engineering TensorFlow Models: [[GCDEC/Engineering_Tensorflow/Notes]] | Engineering TensorFlow Models: [[GCDEC/Engineering_Tensorflow/Notes]] | ||
=Usage and Components= | |||
==Command Line Arguments== | |||
[[TensorFlow/Command Line Args]] - notes on using command line arguments in TensorFlow models | |||
=Github= | =Github= | ||
Revision as of 03:49, 26 October 2017
Notes
Google Cloud Data Engineering Certification Course
Building TensorFlow Models: GCDEC/Building_Tensorflow/Notes
Deploying TensorFlow Models: GCDEC/Deploying_Tensorflow/Notes
Engineering TensorFlow Models: GCDEC/Engineering_Tensorflow/Notes
Usage and Components
Command Line Arguments
TensorFlow/Command Line Args - notes on using command line arguments in TensorFlow models
Github
My Repositories
Other Repositories
Official Repositories
- https://github.com/tensorflow/tensorflow - official TensorFlow repository
- https://github.com/tensorflow/models - models and examples built with TensorFlow
- contains models referenced by TensorFlow tutorials in the documentation: https://www.tensorflow.org/tutorials/
- a partial list of other models: imagenet, adversarial networks, OCR, autoencoders, compression, im2txt, inception, optimizer, GPU, streetview, video prediction
- https://github.com/GoogleCloudPlatform/training-data-analyst - models and examples for the TensorFlow section of the Google Cloud Data Engineering training
- relevant code is in courses/machine_learning/
- contains sequential buildup of a simple tensorflow example into a more complex tensorflow example in courses/machine_learning/tensorflow
- contains example bundled app for training/predictions using Cloud ML Engine in courses/machine_learning/cloudmle