Handwritten digit recognition is a classic problem in computer vision and pattern recognition. It is widely used in postal code recognition, bank check processing, and automatic form reading. With the rise of deep learning, models have achieved human-level accuracy in recognizing handwritten digits. This article explores handwritten digit recognition using deep learning, covering how convolutional … Read more
Artificial Intelligence (AI) has revolutionized various industries, from healthcare to finance, by enabling machines to perform tasks that traditionally required human intelligence. Within AI, machine learning is a critical field that allows computers to learn from data and improve performance over time. Machine learning techniques are generally categorized into two main types: shallow learning and … Read more
Large Language Models (LLMs) have become a crucial component of modern artificial intelligence, revolutionizing natural language processing (NLP) applications. However, many people wonder whether LLMs fall under machine learning (ML) or deep learning (DL). The distinction is important because it helps us understand the underlying technology, training methodologies, and practical applications of LLMs. This article … Read more
Transformers are like the brains behind cutting-edge natural language processing (NLP) systems, changing the game for how computers comprehend and produce human language. But what exactly are transformers, and how do they do what they do? In this article, we’re diving deep into the world of transformers in machine learning. We’ll break down their architecture, … Read more
