RNN Language Classifier
The RNN Language Classifier is a powerful tool designed to classify languages using a Recurrent Neural Network (RNN) architecture. This implementation is done in Python without relying on any AI libraries, making it a great resource for those looking to understand the fundamentals of machine learning and natural language processing from scratch.
Key Features:
- Custom Implementation: Built entirely from the ground up without AI libraries, providing a clear understanding of RNNs.
- Language Classification: Capable of identifying and classifying multiple languages based on input text.
- Educational Resource: Ideal for students and developers looking to learn about RNNs and their applications in language processing.
Use Cases:
- Educational Purposes: Perfect for teaching concepts of machine learning and neural networks.
- Language Detection: Can be integrated into applications requiring language identification from user input.
- Research: Useful for researchers exploring the capabilities of RNNs in natural language processing tasks.