---
title: "Tanayendu Bari (@lagran) | Hashnode"
description: "A Database that can think. Read the latest articles by Tanayendu Bari on Hashnode."
url: "https://hashnode.com/@lagran"
---

@lagran

# Tanayendu Bari

@lagran · Joined June 2025

A Database that can think

### [Multi-Class Image Classification with FashionMNIST in PyTorch](https://multi-class-image-classification.hashnode.dev/multi-class-image-classification-with-fashionmnist-in-pytorch?utm_source=hashnode&utm_medium=feed)

Learn how to implement multi-class classification using PyTorch. This step-by-step tutorial covers data preprocessing, model creation, training, and evaluat

10 min read · [multi-class-image-classification.hashnode.dev](https://multi-class-image-classification.hashnode.dev/multi-class-image-classification-with-fashionmnist-in-pytorch?utm_source=hashnode&utm_medium=feed)

[Jun 25, 2025](https://hashnode.com/posts/multi-class-image-classification-with-fashionmnist-in-pytorch/685c66aaba5bb5a00e7986e6)

### [Binary Classification with PyTorch: A Step-by-Step Guide](https://binary-classification-using-pytorch.hashnode.dev/binary-classification-with-pytorch-a-step-by-step-guide?utm_source=hashnode&utm_medium=feed)

Learn 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.dev](https://binary-classification-using-pytorch.hashnode.dev/binary-classification-with-pytorch-a-step-by-step-guide?utm_source=hashnode&utm_medium=feed)

[Jun 23, 2025](https://hashnode.com/posts/binary-classification-with-pytorch-a-step-by-step-guide/6859d6b23e0cd2d92bf2ce38)

### [Embeddings in NLP: From One-Hot to Transformers](https://embeddings.hashnode.dev/embeddings-in-nlp-from-one-hot-to-transformers?utm_source=hashnode&utm_medium=feed)

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...

9 min read · [embeddings.hashnode.dev](https://embeddings.hashnode.dev/embeddings-in-nlp-from-one-hot-to-transformers?utm_source=hashnode&utm_medium=feed)

[Jun 23, 2025](https://hashnode.com/posts/embeddings-in-nlp-from-one-hot-to-transformers/68595c1bf033cd4a0d1114c5)

### [Understanding the Transformer Input Layer: Tokenization Explained.](https://what-happens-before-attention.hashnode.dev/understanding-the-transformer-input-layer-tokenization-explained?utm_source=hashnode&utm_medium=feed)

tLearn the fundamentals of tokenization in NLP—from word-level and character-level to advanced subword methods like BPE, WordPiece, and SentencePiece. See h

26 min read · [what-happens-before-attention.hashnode.dev](https://what-happens-before-attention.hashnode.dev/understanding-the-transformer-input-layer-tokenization-explained?utm_source=hashnode&utm_medium=feed)

[Jun 19, 2025](https://hashnode.com/posts/understanding-the-transformer-input-layer-tokenization-explained/68535694bbc8c161ed5a202c)

### [From Pixels to Patterns: A Deep Dive into Convolutional Neural Networks (CNNs)](https://convolutional-neural-networks-cnns.hashnode.dev/from-pixels-to-patterns-a-deep-dive-into-convolutional-neural-networks-cnns?utm_source=hashnode&utm_medium=feed)

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.dev](https://convolutional-neural-networks-cnns.hashnode.dev/from-pixels-to-patterns-a-deep-dive-into-convolutional-neural-networks-cnns?utm_source=hashnode&utm_medium=feed)

[Jun 17, 2025](https://hashnode.com/posts/from-pixels-to-patterns-a-deep-dive-into-convolutional-neural-networks-cnns/685188967f389028be323538)