NLP for Beginners: Build an Anti-Spam AI Using Deep Learning
Date:
Honored to speak at the Mini Class Deep Learning organized by Dunia Coding, where participants explored the end-to-end process of building Deep Learning applications. The four-day program covered spam message prediction, hyperparameter tuning, model deployment, and the development of an LSTM-based spam detection portfolio. Through hands-on practice using Google Colab and Visual Studio Code, participants gained practical experience in building and improving Deep Learning models from scratch to real-world applications. The session highlighted that learning Deep Learning is not only about training models but also about understanding how to optimize, deploy, and transform them into functional solutions. Participants were encouraged to continue experimenting, learning from failures, and developing their skills to create impactful applications in the field of Natural Language Processing (NLP).
