Welcome to the Deep Learning Projects section! Here are some beginner-friendly tutorials to practice and enhance your AI skills. Each project includes a brief description, required tools, and a link to dive deeper.
📌 Popular Projects to Explore
Neural Network for Handwritten Digit Recognition
- Goal: Classify digits from MNIST dataset using a simple CNN.
- Tools: TensorFlow, Keras, Python
- Start Tutorial →
Sentiment Analysis with NLP
- Goal: Analyze text sentiment using LSTM networks.
- Tools: PyTorch, NLTK, Scikit-learn
- Learn More →
Image Classification with Transfer Learning
- Goal: Use pre-trained models like ResNet for image tasks.
- Tools: TensorFlow Hub, OpenCV
- Code Example →
Reinforcement Learning for Game AI
- Goal: Train an agent to play simple games like Tic-Tac-Toe.
- Tools: Gym, Stable Baselines
- Beginner Guide →
Object Detection in Real-Time
- Goal: Detect objects in videos using YOLOv8.
- Tools: PyTorch, OpenCV
- Implementation Details →
🧠 Tips for Success
- Start with small datasets to understand core concepts.
- Use visualization tools like TensorBoard to track training progress.
- Check out our AI resources → for more guided learning.
Ready to build your first project? Let's get started! 🧪