tensorflow-examples | Sample tensorflow code to try on Floyd | Machine Learning library

by floydhub Python Version: Current License: Non-SPDX

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kandi X-RAY | tensorflow-examples Summary

tensorflow-examples is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. tensorflow-examples has no bugs, it has no vulnerabilities and it has low support. However tensorflow-examples build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Note: These examples are originally from aymericdamien/TensorFlow-Examples repository. TensorFlow Tutorial with popular machine learning algorithms implementation. This tutorial was designed for easily diving into TensorFlow, through examples. It is suitable for beginners who want to find clear and concise examples about TensorFlow. For readability, the tutorial includes both notebook and code with explanations.

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tensorflow-examples has a low active ecosystem.

It has 71 star(s) with 26 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 139 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-examples is current.

Quality

tensorflow-examples has 0 bugs and 0 code smells.

Security

tensorflow-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-examples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow-examples has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

tensorflow-examples releases are not available. You will need to build from source code and install.

tensorflow-examples has no build file. You will be need to create the build yourself to build the component from source.

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

tensorflow-examples saves you 449 person hours of effort in developing the same functionality from scratch.

It has 1061 lines of code, 33 functions and 17 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow-examples and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-examples implemented functionality, and help decide if they suit your requirements.

Creates data sets for training
Extract images from an MNIST image file
Extract labels from MNIST label file
Try to download a file
Convert a dense matrix to one - hot labels
Read 32 bytes from bytestream
Convolution layer
2D conv2d convolution layer
Max pooling op
Train the network
Get next batch of images
Performs dynamic RNN
Implementation of BiRNN
Generate the next batch
RNN layer
Multilayer Perceptron layer
Returns the next batch
Encoder with sigmoid
Compute the decoder
Matrix multiplication

Get all kandi verified functions for this library.

tensorflow-examples Key Features

No Key Features are available at this moment for tensorflow-examples.

tensorflow-examples Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow-examples.

Community Discussions

Trending Discussions on tensorflow-examples

No module named 'tensorflow_examples' after installing

Unable to import tensorflow lite image classifier

Why the accuracy of TF-lite is not correct after quantization

QUESTION

No module named 'tensorflow_examples' after installing

Asked 2020-Aug-25 at 22:13

In my Notebook's first cell, I wrote :

...

ANSWER

Answered 2020-Aug-25 at 22:13

From here:

Source https://stackoverflow.com/questions/63463856

QUESTION

Unable to import tensorflow lite image classifier

Asked 2020-Jul-03 at 14:02

https://www.tensorflow.org/lite/tutorials/model_maker_image_classification

I am running through the tensorflow lite example and get an import error when trying to import image classifier.

...

ANSWER

Answered 2020-Jul-03 at 14:02

Try to clone the repo, and then use this path:

Source https://stackoverflow.com/questions/62716534

QUESTION

Why the accuracy of TF-lite is not correct after quantization

Asked 2020-May-27 at 12:52

I am trying TF-lite converter with TF1.12. And found that the accuracy of TF-lite is not correct after quantization. Take MNIST for example, if convert to f32 with the following command, it still can tell the correct when run convolution_test_lite.py with conv_net_f32.tflite.

...

ANSWER

Answered 2020-May-27 at 12:52

I believe there are multiple issues buried in this. Let me address these one by one.

1. The input values should be quantized.

Your test code (convolution_test_lite.py) is not quantizing the input values correctly.

In case of QUANTIZED_UINT8 quantization:

Source https://stackoverflow.com/questions/62015923

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-examples

You can download it from GitHub.
You can use tensorflow-examples like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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