Domain: Computer Vision Tech Stack: Convolutional Neural Networks (CNN) Name: Image Classification using CIFAR-10 Dataset
- Designed and implemented a sophisticated Convolutional Neural Network (CNN) architecture tailored for image classification tasks using the CIFAR-10 dataset.
- Leveraged advanced deep learning techniques to extract meaningful features from images, resulting in accurate predictions across diverse categories.
- Demonstrated expertise in neural network design and optimization, optimizing model performance to achieve a validation accuracy of 74% and validation loss of 1.32.
- Applied cutting-edge methodologies in computer vision to effectively learn intricate patterns and nuances within the dataset, showcasing proficiency in deep learning frameworks and methodologies.