Multi-Class Image Classification with FashionMNIST in PyTorchLearn how to implement multi-class classification using PyTorch. This step-by-step tutorial covers data preprocessing, model creation, training, and evaluat10 min read·multi-class-image-classification.hashnode.devJun 25, 2025
Binary Classification with PyTorch: A Step-by-Step GuideLearn how to build a binary classification model using PyTorch from scratch. Step-by-step tutorial with code, explanations, and visualizations.9 min read·binary-classification-using-pytorch.hashnode.devJun 23, 2025
Embeddings in NLP: From One-Hot to TransformersIntroduction: 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...9 min read·embeddings.hashnode.devJun 23, 2025
Understanding the Transformer Input Layer: Tokenization Explained.tLearn the fundamentals of tokenization in NLP—from word-level and character-level to advanced subword methods like BPE, WordPiece, and SentencePiece. See h26 min read·what-happens-before-attention.hashnode.devJun 19, 2025
From Pixels to Patterns: A Deep Dive into Convolutional Neural Networks (CNNs)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...18 min read·convolutional-neural-networks-cnns.hashnode.devJun 17, 2025