pgeedh / hyperparameter-tuning-with-keras-tuner

Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization

Hi 👋, I'm Pruthvi Geedh

I am an aspiring computer vision and robotics enthusiast, focusing on perception, path planning, motion, machine learning, and AI. Actively seeking opportunities to develop advanced solutions and contribute to groundbreaking robotics projects.

• 🌱 I’m currently learning Deep Learning and ROS2,

• 👯 I’m looking to collaborate on Autonomous Mobile Robots

• 🤝 I’m looking for help with Motion Planning and Perception

• 💬 Ask me about ROS, Computer Vision and Machine learing

• 📫 How to reach me [email protected]

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