Torrent details for "Lynda - Learning TensorFlow with JavaScript [AhLaN]" Log in to bookmark
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EnglishTotal Size:
163.56 MB
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30881b75b66b7b67f3a145fd3ddd86ca63e64ad6
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31-07-2020 18:24
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501
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Lynda - Learning TensorFlow with JavaScript [AhLaN]
SUPPLiER.......: WWW RELEASE DATE......: 31/07/20
Uploader.......: abidmail Collector.........: abidmail
... RELEASE iNFORMATiON ...
GENERAL INFO
Instructor : Emmanuel Henri
Duration : 57m
Released : 9/7/2018
... About This Course ...
JavaScript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.
Topics include:
Using TensorFlow
Machine learning (ML) basics
Creating a project with TensorFlow
Working with tensors and variables
TensorFlow ML operations
Working with models and layers
Importing a project
Exploring datasets
Training a model
Using Python-based models in JS
Converting SavedModel to web
-----------------------------------------------------------------------------------
Proudly Presents
-----------------------------------------------------------------------------------
Lynda - Learning TensorFlow with JavaScript [AhLaN]
SUPPLiER.......: WWW RELEASE DATE......: 31/07/20
Uploader.......: abidmail Collector.........: abidmail
... RELEASE iNFORMATiON ...
GENERAL INFO
Instructor : Emmanuel Henri
Duration : 57m
Released : 9/7/2018
... About This Course ...
JavaScript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.
Topics include:
Using TensorFlow
Machine learning (ML) basics
Creating a project with TensorFlow
Working with tensors and variables
TensorFlow ML operations
Working with models and layers
Importing a project
Exploring datasets
Training a model
Using Python-based models in JS
Converting SavedModel to web
