https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python

Hybrid Model with CNN and LSTM for VMD dataset using Python
https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python

cnn-architecture cnn-classification cnn-keras cnn-lstm-models cnn-model data-science deep-learning hybrid-model keras lstm-model lstm-neural-network machine-learning matplotlib numpy pandas python sklearn tensorflow vmd

Last synced: 4 months ago
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Hybrid Model with CNN and LSTM for VMD dataset using Python

• Host: GitHub
• URL: https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python
• Owner: aaaastark
• Created: 2022-06-29T18:20:12.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-10-12T11:00:16.000Z (over 3 years ago)
• Last Synced: 2025-04-07T19:51:25.207Z (about 1 year ago)
• Topics: cnn-architecture, cnn-classification, cnn-keras, cnn-lstm-models, cnn-model, data-science, deep-learning, hybrid-model, keras, lstm-model, lstm-neural-network, machine-learning, matplotlib, numpy, pandas, python, sklearn, tensorflow, vmd
• Homepage: https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python
• Size: 14.4 MB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hybrid Model with CNN and LSTM for VMD dataset using Python

## VMD: Video and Music Data (Dataset)

#### API that used in this Project:

- keras

- sklearn

- tensorflow

- matplotlib

- pandas

- numpy

#### Dataset VMD:

![download-1](https://user-images.githubusercontent.com/74346775/176511453-586201b3-304c-49e5-ad29-cf89d1f3018e.PNG)

#### Plot the Loss and Accuracy of Model

![download-2](https://user-images.githubusercontent.com/74346775/176511441-aac7587d-4bf1-4fa4-9f42-a22125ecceb6.PNG)

#### Plot the Model (Accuracy, Loss, Validation Accuracy, Validation Loss) Epoch

![download-3](https://user-images.githubusercontent.com/74346775/176511464-b874bb99-cc41-441d-a6d4-49664db24d0f.PNG)

#### Plot the Model (Training and validation loss) and (Training and validation accuracy)

![download-4](https://user-images.githubusercontent.com/74346775/176511526-1ae1943b-225b-46d8-b95d-94e6efc66306.PNG)

![download-5](https://user-images.githubusercontent.com/74346775/176511539-5d638ab1-a781-45ff-809e-8485747584fa.PNG)