ComputerVision

Day 13 – Transfer Learning & Fine-Tuning Pretrained Models

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Introduction In the fast-evolving world of deep learning, training models from scratch can be time-consuming and resource-intensive. Transfer learning addresses this challenge by allowing AI engineers to leverage pretrained models and adapt them to new tasks efficiently. At CuriosityTech.in, learners in Nagpur use transfer learning to build image classifiers, NLP models, and multimodal AI applications, […]

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Day 6 – Convolutional Neural Networks (CNNs) for Image Recognition

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Introduction If neural networks are the foundation of deep learning, then Convolutional Neural Networks (CNNs) are the powerhouse for image and video processing. From detecting faces on social media to powering self-driving cars, CNNs are everywhere. At Curiosity Tech, students in Nagpur start exploring CNNs by building practical projects like cat vs dog classifiers, handwritten

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Day 19 – Case Study: Self-Driving Cars with Deep Learning

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Introduction Self-driving cars represent one of the most complex and transformative applications of AI and deep learning. These vehicles rely on computer vision, sensor fusion, reinforcement learning, and decision-making algorithms to navigate safely. At Curiosity Tech, learners in Nagpur explore end-to-end autonomous vehicle pipelines, gaining hands-on experience in deep learning architectures, simulation environments, and real-world

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Day 15 – Hands-On Project: Image Classification with CNNs

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Introduction Image classification is a fundamental task in computer vision and a great way to learn Convolutional Neural Networks (CNNs). CNNs automatically extract features from images, eliminating the need for manual feature engineering. At Curiosity Tech, learners in Nagpur build end-to-end CNN-based image classifiers, gaining hands-on experience in data preprocessing, model building, evaluation, and deployment,

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