20+ Unique Deep Learning Projects with Source Code – 2023

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  Leaf Disease Detection Flask App – with source code – 2023
  by Abhishek Sharma
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  Realtime Number Plate Detection using Yolov7 – Easiest Explanation – 2023
  by Abhishek Sharma
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  Easiest way to Train yolov7 on the custom dataset – 2023
  by Abhishek Sharma
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  Google Stock Price Prediction using LSTM – with source code – easiest explanation – 2023
  by Abhishek Sharma
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  Image Captioning using Deep Learning – with source code – easy explanation – 2023
  by Abhishek Sharma
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  Generating cifar-10 fake images using Deep Convolutional Generative Adversarial Networks (DCGAN) – 2023
  by Abhishek Sharma
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  Helmet and Number Plate Detection and Recognition using YOLOv3 – interesting project – 2023
  by Abhishek Sharma
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  HealthCure – an all in one medical solution – medical project – 7 disease detections – 2023
  by Abhishek Sharma
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  Invisible Man using Mask-RCNN – with source code – fun project – 2023
  by Abhishek Sharma
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  Neural Style Transfer – with source code – easiest explanation – fun project – 2023
  by Abhishek Sharma
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  Sudoku Solver – with source code – fun project – easiest way – 2023
  by Abhishek Sharma
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  Human Segmentation using U-Net – with source code – easiest way – 2023
  by Abhishek Sharma
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  Milk Production prediction for next year using LSTM – with source code – easiest explanation – 2023
  by Abhishek Sharma
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  Emotion Detector using Keras – with source code – easiest way – easy implementation – 2023
  by Abhishek Sharma
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  MNIST Handwritten Number Recognition – using Deep Neural Networks – with source code – 2023
  by Abhishek Sharma
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  Monkey Breed Classification using Transfer Learning – with source code – easiest code explanation – easy implementation – 2023
  by Abhishek Sharma
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  MNIST Handwritten number recognition using Keras – with live predictor – with source code – 2023
  by Abhishek Sharma
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  AI learns to play Flappy Bird Game – fun project – with source code – 2023
  by Abhishek Sharma
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  Age Detection using CNN with Keras – with source code – easiest way – easy implementation – 2023
  by Abhishek Sharma
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  Fire and Smoke Detection using CNN with Keras – with source code – 2023
  by Abhishek Sharma
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  Cats and Dogs Classifier – easiest way – with source code – easy explanation – 2023
  by Abhishek Sharma
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  Dimensionality Reduction using Autoencoders – easy explanation – with source code – 2023
  by Abhishek Sharma

Deep Learning Projects with Source Code

Hey guys, here you can find your next Deep Learning Projects with proper explanations and source codes provided.

It is always good to have practical insight into any technology that you are working on. Though textbooks and other study materials will provide you with all the knowledge that you need to know about any technology but you can’t really master that technology until and unless you work on real-time projects.

Deep learning projects have gained immense popularity in recent years. From voice assistants to self-driving cars, deep learning has become an integral part of modern technology. If you are interested in exploring this exciting field, here are some top deep-learning projects you can work on.

Unique and Interesting Deep Learning Projects with Source Code

1. Leaf Disease Detection Flask App – with source code – 2023
2. Realtime Number Plate Detection using Yolov7 – Easiest Explanation – 2023
3. Easiest way to Train yolov7 on the custom dataset – 2023
4. Google Stock Price Prediction using LSTM – with source code – easiest explanation – 2023
5. Image Captioning using Deep Learning – with source code – easy explanation – 2023
6. Generating cifar-10 fake images using Deep Convolutional Generative Adversarial Networks (DCGAN) – 2023
7. Helmet and Number Plate Detection and Recognition using YOLOv3 – interesting project – 2023
8. HealthCure – an all in one medical solution – medical project – 7 disease detections – 2023
9. Invisible Man using Mask-RCNN – with source code – fun project – 2023
10. Neural Style Transfer – with source code – easiest explanation – fun project – 2023
11. Sudoku Solver – with source code – fun project – easiest way – 2023
12. Human Segmentation using U-Net – with source code – easiest way – 2023
13. Milk Production prediction for next year using LSTM – with source code – easiest explanation – 2023
14. Emotion Detector using Keras – with source code – easiest way – easy implementation – 2023
15. MNIST Handwritten Number Recognition – using Deep Neural Networks – with source code – 2023
16. Monkey Breed Classification using Transfer Learning – with source code – easiest code explanation – easy implementation – 2023
17. MNIST Handwritten number recognition using Keras – with live predictor – with source code – 2023
18. AI learns to play Flappy Bird Game – fun project – with source code – 2023
19. Age Detection using CNN with Keras – with source code – easiest way – easy implementation – 2023
20. Fire and Smoke Detection using CNN with Keras – with source code – 2023
21. Cats and Dogs Classifier – easiest way – with source code – easy explanation – 2023
22. Dimensionality Reduction using Autoencoders – easy explanation – with source code – 2023

End to End Deep Learning Projects for Students

• Google Stock Price Prediction using LSTM

In this project, we will see how we can perform Google’s stock price prediction using Keras’ LSTM model trained on past stock data. This project is just for educational purposes. Please do not invest your money using these models.

• Image Captioning – with source code

In this project, we will implement the Image Captioning project which is a very advanced project. We will use a combination of LSTMs and CNNs for this use case.

This project can be your Machine learning project with source code for the final year.

• Generating cifar-10 fake images using Deep Convolutional Generative Adversarial Networks (DCGAN)

In this project we will see how can we build some real-looking fake images, using Deep Convolutional Generative Adversarial Networks or DCGANs. GANs are basically known for their two networks, the Generative network, and the Discriminative network. We train our Discriminative model in such a way that it can tell us which image is real and which image is fake. The generative network tries to create new images that can even fool the Discriminator network and prove themselves to be real. 

• Helmet and Number Plate Detection and Recognition using YOLOv3

So guys in this project we will see how we can implement Helmet and Number Plate Detection and Recognition in Python using YOLOv3 and some other Computer Vision techniques. This is a very advanced project that you can use for your college minor projects as well as major projects. So without wasting any further time.

Our main motive behind Helmet and Number Plate Detection and Recognition was to first detect if someone is wearing a helmet or not, if he is wearing it, no problem, but if not, detect his number plate and send an e-challan to him.

This project can be your Machine learning project with source code for the final year. I myself made this project my Final year’s minor project.

• HealthCure – an all in one medical solution – medical project – 7 disease detections

This is a project that I chose as my college’s final year major project and guess what, it went pretty well. This project uses various advanced techniques like CNNs, VGGs, XGBoost, etc for performing 7 disease detections. This is one of the best Machine learning projects in Python.

Main Page

Results

These 7 detections are Covid Detection, Alzheimer Detection, Brain Tumor Detection, Breast Cancer Detection, Pneumonia Detection, Heart Disease Detection, and Diabetes Detection.

This project can be your Machine learning project with source code for the final year. I myself made this as my final year major project.

• Invisible Man using Mask R-CNN

In this blog, we will see how we can perform Human Segmentation using Mask R-CNN. This is a very advanced project and many things are happening under the hood. Please try this project only when you are available with a GPU.

• Neural Style Transfer

Who said that only humans can create beautiful artwork? In this blog, we will see how a neural network application called Neural Style Transfer can create beautiful artworks which even humans can’t think of.

• Sudoku Solver

In this blog, we will see how we can implement Sudoku Solver using Computer Vision and Image Processing techniques. Sudoku is a 9X9 grid puzzle.

• Human Segmentation using U-Net

In this blog, we will see how we can perform Human Segmentation using U-Net. U-Net is a very special CNN architecture that was specially made for segmentation in mainly the medical field. It is called a U-Net because of its special architecture whose shape is like U.

Benefits of Deep Learning Projects

1. Hands-on Learning Experience:

Deep learning projects provide a hands-on approach to learning complex concepts. Instead of just reading about neural networks and algorithms, you get to implement and experiment with them. This practical engagement deepens your understanding and helps you grasp how different components come together to create a functioning deep learning model.

2. Real-world Application:

Working on deep learning projects allows you to witness the direct application of theoretical knowledge to real-world scenarios. By dealing with actual datasets and practical problems, you gain insights into how deep learning models can solve problems ranging from image recognition to language translation.

3. Skill Enhancement:

Implementing deep learning projects hones your technical skills. You become proficient in using libraries like TensorFlow or PyTorch, learn about data preprocessing techniques, and gain expertise in model selection, hyperparameter tuning, and optimization strategies. These skills are invaluable when pursuing a career in artificial intelligence or machine learning.

4. Problem Solving:

Each deep learning project comes with its set of challenges and roadblocks. As you tackle these hurdles, your problem-solving skills are sharpened. You learn to troubleshoot errors, debug code, and adapt solutions to suit the unique requirements of a given project.

5. Creativity and Innovation:

Deep learning projects often require creative thinking. Whether you’re designing novel architectures for neural networks or finding innovative ways to improve model performance, you have the freedom to explore new ideas and push the boundaries of what’s possible.

6. Portfolio Building:

As you complete deep learning projects, you’re building a portfolio that showcases your practical skills and accomplishments. A well-documented portfolio can be immensely valuable when applying for jobs or internships in the field, as it demonstrates your capabilities to potential employers.

7. Deeper Understanding:

Delving into deep learning projects helps you go beyond the surface-level understanding of algorithms. You gain insights into the inner workings of neural networks, activation functions, gradient descent, and more. This knowledge is foundational for advanced research and development in the field.

8. Community Engagement:

Many deep learning projects with source code are part of larger open-source communities. Engaging with these communities allows you to learn from others, ask questions, and collaborate on improving and extending existing projects.

Conclusion

In conclusion, deep learning projects offer a wide range of exciting opportunities for anyone interested in machine learning and artificial intelligence. Whether you are a beginner or an experienced developer, there are many projects to choose from that can help you gain new skills and knowledge. So why not start your own deep-learning project today?

FAQ

Check out my other machine learning projects, deep learning projects, computer vision projects, NLP projects, and Flask projects.