tf2_course | Deep Learning with TensorFlow | Machine Learning library

by ageron Jupyter Notebook Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tf2_course Summary

tf2_course is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras applications. tf2_course has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Deep Learning with TensorFlow 2 and Keras – Notebooks.

Support

Quality

Security

License

Reuse

Support

tf2_course has a medium active ecosystem.

It has 1879 star(s) with 525 fork(s). There are 96 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 11 have been closed. On average issues are closed in 18 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tf2_course is current.

Quality

tf2_course has 0 bugs and 0 code smells.

Security

tf2_course has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tf2_course code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tf2_course is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tf2_course releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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tf2_course Key Features

No Key Features are available at this moment for tf2_course.

tf2_course Examples and Code Snippets

No Code Snippets are available at this moment for tf2_course.

Community Discussions

Trending Discussions on tf2_course

Implementing Neural Nets with Keras

QUESTION

Implementing Neural Nets with Keras

Asked 2020-Jan-02 at 18:48

I am trying to implement this code in my computer, the problem I was facing is running the following code gives an error:

...

ANSWER

Answered 2020-Jan-02 at 18:48

If it's downloaded correctly, you need to specify your path.

Have you tried (X_train_full, y_train_full), (X_test, y_test) = fashion_mnist.load_data (path="%yourLocalPath%") as documented Here ? tensorflow docs

If it's not, The first error you got because you live in a place where TensorFlow is Forbidden, simply just use a VPN.

Source https://stackoverflow.com/questions/59555168

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tf2_course

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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