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ARAleksei Romanovgfactor.hashnode.dev2d ago · 17 min read

Distributed Training & Inference: From CPUs and GPUs to a Cluster

You can run a small model on a laptop, train a larger one on a GPU server, and spread an enormous one across a cluster. The difficult step is understanding what changes between those setups. Adding GP

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MMMahesh Moholkarmaheshmoholkar.hashnode.dev4d ago · 44 min read

The Math Underneath Neural Networks: Tensors, Matrices and PyTorch

This is the third part of a series on how language models work, built from the ground up. Part 1 built a neural network as an office building and trained it with four steps on repeat. Part 2 put text

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MCMira Cetimiraceti.hashnode.devSep 25 · 11 min read

25 LLM architecture blocks, side by side, in runnable PyTorch

GPT-2 to Kimi Linear is seven years of architecture research, and almost all of it fits in about twenty lines per model. Below are 25 decoder blocks — GPT-2, OPT, Llama 2/3/4, Gemma 2/3, Qwen 2.5/3/3-

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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.devSep 19 · 7 min read

Face Recognition: Turning a Classifier Into an Embedding That Can Learn New Faces

Phones that unlock just by looking at you, office systems that recognize whoever just walked through the door: the trick behind both is rarely "just train a classifier." This post walks through why, a

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GYGulshan Yadavmrgulshanyadav.hashnode.devSep 19 · 13 min read

Mastering PyTorch: An In-Depth Guide to Popular Architectures

A field guide to the neural architectures that actually ship — CNN, ResNet-style skip connections, and Transformers — built in PyTorch, with the production trade-offs you only learn by deploying them.

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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.devSep 19 · 8 min read

Text Recognition: How Machines "Read" a String of Digits from an Image

Table of Contents Why This Matters Guess First What Is Text Recognition (OCR) Why CNN Alone Isn't Enough LSTM's Job: Understanding Sequence The Alignment Problem and Why CTC Loss Exists From Th

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SHSanskriti Harmukhvultr.hashnode.devSep 16 · 3 min read

Installing PyTorch with ROCm Acceleration on Ubuntu 24.04

PyTorch is an open-source framework for building and training machine learning models, especially deep learning networks. ROCm is AMD's platform for GPU computing, enabling high-performance computing

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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.devSep 15 · 8 min read

Single Object Detection: Training and Serving with FastAPI

Table of Contents Quick Recap Setting Up the Dataset and Model IoU: Measuring How Good a Prediction Is The Full Training Loop First Training Results Serving the Model with FastAPI Cheat Sheet

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THTaha husseintahahussein.hashnode.devSep 15 · 3 min read

PyTorch Tutorial for Beginners

Building Your First Neural Network with PyTorch PyTorch is one of the most widely used frameworks for Deep Learning. In this tutorial, we'll go through the basic components required to create and trai

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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.devSep 15 · 8 min read

Semantic Segmentation with U-Net: Labeling Every Pixel on CARLA's Streets

Object detection draws a box around what it finds. Semantic segmentation goes a level deeper: every single pixel gets its own class label. Not "there's a car over there," but "this pixel belongs to a

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#pytorch

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Trending tags this week

Distributed Training & Inference: From CPUs and GPUs to a Cluster

The Math Underneath Neural Networks: Tensors, Matrices and PyTorch

25 LLM architecture blocks, side by side, in runnable PyTorch

Face Recognition: Turning a Classifier Into an Embedding That Can Learn New Faces

Mastering PyTorch: An In-Depth Guide to Popular Architectures

Text Recognition: How Machines "Read" a String of Digits from an Image

Installing PyTorch with ROCm Acceleration on Ubuntu 24.04

Single Object Detection: Training and Serving with FastAPI

PyTorch Tutorial for Beginners

Semantic Segmentation with U-Net: Labeling Every Pixel on CARLA's Streets