https://github.com/siddhant4srivastava/deep-learning-project

Contains a collection of deep learning projects I completed as part of my coursework with Edvancer Eduventures.
https://github.com/siddhant4srivastava/deep-learning-project

deep-learning keras natural-language-processing neural-network tensorflow transfer-learning

Last synced: about 2 months ago
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Contains a collection of deep learning projects I completed as part of my coursework with Edvancer Eduventures.

• Host: GitHub
• URL: https://github.com/siddhant4srivastava/deep-learning-project
• Owner: siddhant4srivastava
• Created: 2024-11-18T08:18:12.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-13T10:09:08.000Z (over 1 year ago)
• Last Synced: 2025-04-03T15:13:05.312Z (over 1 year ago)
• Topics: deep-learning, keras, natural-language-processing, neural-network, tensorflow, transfer-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 4.47 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Projects Included

1. **Multiclass Multilabel Prediction for Stack Overflow Questions**  

   - **Description:** Given the text of Stack Overflow questions, predict the associated tags. This project explores natural language processing techniques for multiclass and multilabel classification.

2. **Music Genre Identification**  

   - **Description:** Given audio files of various songs, identify the genre to which each song belongs. This project involves audio processing and classification.

3. **Spam Filter for Quora Questions**  

   - **Description:** Build a model to identify if a question posted on Quora is spam. This project combines text processing and classification to detect spam content.

4. **Distracted Driver Multi-Action Classification**  

   - **Description:** Classify images into 10 categories based on driver actions to promote safe driving behavior. Classes include:

     - `c0`: Safe driving

     - `c1`: Texting - right

     - `c2`: Talking on the phone - right

     - `c3`: Texting - left

     - `c4`: Talking on the phone - left

     - `c5`: Operating the radio

     - `c6`: Drinking

     - `c7`: Reaching behind

     - `c8`: Hair and makeup

     - `c9`: Talking to passenger

5. **Image Captioning**  

   - **Description:** Generate descriptive captions for images using a combination of computer vision and natural language processing techniques.

## Technologies Used

- **Frameworks and Libraries:** TensorFlow, Keras

- **Languages:** Python

- **Tools:** Jupyter Notebook, Google Colab

## Acknowledgments

I am grateful to **Edvancer Eduventures** for providing guidance and resources throughout these projects, which helped deepen my understanding of deep learning concepts.