Welcome to the Keras model examples section! Here are some popular use cases and tutorials to help you get started with building deep learning models using Keras:
🚀 Image Classification with CNNs
Example: MNIST Digit Classification
- A beginner-friendly tutorial using Convolutional Neural Networks (CNNs) to recognize handwritten digits.
- Explore the full example
Example: CIFAR-10 Object Recognition
- Learn to train a CNN on the CIFAR-10 dataset for real-world image classification.
- View the code implementation
📖 Text Generation with RNNs
Example: Shakespeare-style Text Generation
- Use Recurrent Neural Networks (RNNs) to generate creative text similar to Shakespeare's plays.
- Follow the step-by-step guide
Example: Chatbot with LSTM
- Build a chatbot using Long Short-Term Memory (LSTM) networks for sequence modeling.
- Check the detailed tutorial
📈 Time Series Forecasting
- Example: Stock Price Prediction
- Apply Keras to forecast stock prices using historical data and LSTM networks.
- Access the example code
🧠 Advanced Models & Tips
Example: Transfer Learning with Pretrained Models
- Fine-tune models like VGG16 or ResNet for custom image tasks.
- Learn more about transfer learning
Tip: Use
model.summary()to visualize your model architecture!Tip: Experiment with Keras Callbacks to monitor training performance.
Let us know if you'd like to dive deeper into any of these examples or need help with your own projects! 😊