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A Database that can think
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Jun 25, 2025 · 10 min read · Introduction In this tutorial, we’ll walk through building a multi-class image classification model using PyTorch and the FashionMNIST dataset. This task involves identifying 10 categories of clothing such as shirts, trousers, and sneakers. PyTorch ...
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Jun 23, 2025 · 9 min read · Introduction Binary classification is one of the most fundamental tasks in machine learning. Whether you're predicting if an email is spam or not, detecting fraudulent transactions, or diagnosing whether a tumor is malignant or benign — all of these ...
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Jun 23, 2025 · 9 min read · Introduction: What Are Embeddings? In natural language processing (NLP) and deep learning, embeddings refer to a technique used to transform discrete, symbolic data—such as words, characters, or even entire sentences—into continuous, dense vectors in...
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Jun 19, 2025 · 26 min read · Introduction The first layer of a Transformer model is the input layer, and it typically consists of two major components: tokenization and embeddings. Before the model can perform attention, reasoning, or prediction, it must first understand the inp...
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Jun 17, 2025 · 18 min read · Introduction Convolutional Neural Networks (CNNs) have dramatically transformed the landscape of computer vision, enabling machines to perceive and interpret visual data with unprecedented accuracy and efficiency. Initially developed for tasks like h...
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