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In the realm of deep learning and computer vision, few names resonate as profoundly as AlexNet. Developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, AlexNet marked a watershed moment in the field of artificial intelligence, particularly in image recognition tasks. Its groundbreaking architecture and remarkable performance in the ImageNet Large Scale Visual Recognition Challenge … Read more
In the world of image processing, where every pixel counts, padding plays a crucial role in ensuring that convolutional operations and other transformations are performed accurately. While it might seem like a technical detail, understanding padding is essential for anyone working with images, whether in computer vision, photography, or graphic design. What is Padding? In … Read more
Edge detection is a fundamental process in image processing and computer vision that plays a crucial role in various applications like object detection, image segmentation, and feature extraction. In Convolutional Neural Networks (CNNs), edge detection is performed using specific filters to identify edges in images. These filters, often referred to as kernels or convolutional filters, … Read more
In the realm of technology, few fields are as captivating and transformative as Artificial Intelligence (AI) and its subsets – Machine Learning (ML) and Deep Learning (DL). These domains not only shape our digital landscape but also redefine the way we interact with technology, analyze data, and solve complex problems. Understanding Artificial Intelligence (AI): Artificial … Read more
Deploy Large Language Model: In recent years, large language models (LLMs) have revolutionized the landscape of natural language processing (NLP) and artificial intelligence (AI) applications. These models, such as the GPT (Generative Pre-trained Transformer) series by OpenAI, have shown remarkable capabilities in understanding, generating, and even translating human language. However, deploying such models into real-world … Read more