Human-Activity-Recognition | Recognizing human activities using Deep Learning | Machine Learning library

by MrinalJain17 Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Human-Activity-Recognition Summary

Human-Activity-Recognition is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. Human-Activity-Recognition has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Recognizing human activities using Deep Learning. View the project notebook here - Link to Jupyter Notebook.

Support

Quality

Security

License

Reuse

Support

Human-Activity-Recognition has a low active ecosystem.

It has 32 star(s) with 25 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 10 have been closed. On average issues are closed in 101 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Human-Activity-Recognition is current.

Quality

Human-Activity-Recognition has 0 bugs and 0 code smells.

Security

Human-Activity-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Human-Activity-Recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Human-Activity-Recognition is licensed under the MIT License. This license is Permissive.

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

Reuse

Human-Activity-Recognition 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.

It has 112 lines of code, 7 functions and 2 files.

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

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Human-Activity-Recognition Key Features

No Key Features are available at this moment for Human-Activity-Recognition.

Human-Activity-Recognition Examples and Code Snippets

No Code Snippets are available at this moment for Human-Activity-Recognition.

Community Discussions

Trending Discussions on Human-Activity-Recognition

Convolutional Neural Network - 1D - Feature Classification Error

CNN for non-image data

ValueError: cannot reshape array of size 78543360 into shape (51135,4,32,32)

Shape error when predicting with a trained model in tensorflow.keras

QUESTION

Convolutional Neural Network - 1D - Feature Classification Error

Asked 2021-Nov-01 at 17:29

I am trying to modify the following example to simulate CNN for my set of data and running into some errors https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/

...

ANSWER

Answered 2021-Nov-01 at 17:29

You need to make sure that your input to your Conv1D layer has the shape (timesteps, features) and that your last output layer's units equals the number of unique labels in your dataset. Here is a working example:

Source https://stackoverflow.com/questions/69799851

QUESTION

CNN for non-image data

Asked 2021-May-03 at 05:06

I am trying to create a model from this https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/ example that takes as inputs 3 (to unbug, there will be 1000s) inputs which are arrays of dimension (17,40):

...

ANSWER

Answered 2021-May-02 at 22:06

The Softmax layer size should be equal to the number of classes. Your Softmax layer has only 1 output. For this classification problem, first of all, you should turn your targets to a one-hot encoded format, then edit the size of the Softmax layer to the number of classes.

Source https://stackoverflow.com/questions/67361271

QUESTION

ValueError: cannot reshape array of size 78543360 into shape (51135,4,32,32)

Asked 2020-Dec-12 at 10:18

Following this tutorial from https://machinelearningmastery.com/how-to-develop-rnn-models-for-human-activity-recognition-time-series-classification/

I’m trying to implement CNN-LSTM Network Model on my time series data.

...

ANSWER

Answered 2020-Dec-10 at 14:17

You are trying to reshape X_train to (51135, 4,32,32). It is impossible because X_train shape is (51135, 128, 12). 51135 x 128 x 12 != 51135 x 4 x 32 x 32

Source https://stackoverflow.com/questions/65236149

QUESTION

Shape error when predicting with a trained model in tensorflow.keras

Asked 2020-Nov-23 at 09:09

I'm creating a 1D CNN using tensorflow.keras, following this tutorial, with some of the concepts from this tutorial. So far modeling and training seem to be working, but I can't seem to generate a prediction. Here's an example of what I'm dealing with:

Data ...

ANSWER

Answered 2020-Nov-23 at 09:09

please runing the code: model.predict([trainX[0]]), and the model outputs the predicted results

Source https://stackoverflow.com/questions/64963461

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

Vulnerabilities

No vulnerabilities reported

Install Human-Activity-Recognition

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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