Articles by Tag #pytorch
Browse our collection of articles on various topics related to IT technologies. Dive in and explore something new!
Inside the Transformer Architecture: The Core of Modern AI
Transformer Architecture Explained: Dive into the core of modern AI with self-attention, parallel processing, & a PyTorch code example.
ClipTagger-12B VLM: Frame Captioning Tutorial
TL;DR The inference-net/ClipTagger-12b is a Gemma-3-12B based VLM with an Apache-2.0...
The 64 KB Challenge: Teaching a Tiny Neural Network to Play Pong
Introduction As someone who started hacking in the mid’80s, I’m still a shameless fan of...
Brand Tagging with VLMs
TL;DR Build a two-stage logo pipeline: Retrieval - generate image embeddings for small...
PyTorch Tensor Internals: Storage, Shape, and Stride Explained
If you’ve spent any time with PyTorch, you’ve almost certainly hit this wall: RuntimeError: view...
Star Multi-Class Classification Neural Network With Pytorch
Introduction: Whenever I hear any stories about stars far far away from earth, Im talking...
My Model Cheated: How Grad-CAM Exposed a 95% Accuracy Lie
The Project This week I was trying to work on a simple Deep Learning project to get...
How a Lottery Quest Led Me to The Powers of PyTorch
Introduction At some point in time, you have probably heard that your chances of winning a...
Introduction to PyTorch
Early frameworks required defining the entire model structure upfront and couldn't use normal Python...
Demystifying loss.backward(): How PyTorch Autograd Actually Works
If you use PyTorch, there’s one line of code you probably type out of sheer muscle memory:...
Vision Transformer (ViT) from Scratch in PyTorch
For years, Convolutional Neural Networks (CNNs) ruled computer vision. But since the paper “An Image...
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🔥 Why Your Deep Neural Network Fails at Layer 50 (And How...
PyTorch Introductory Experiments
PyTorch Introductory Experiments In this project, I will revisit some of my previous basic...
torch.export
Summary of torch.export torch.export.export() performs ahead-of-time (AOT) compilation on a Python...
How I Reached 84.35% on CIFAR-100 Using ResNet-50 (PyTorch Guide)
Introduction Reaching high accuracy on standard benchmarks like CIFAR-100 is challenging....
Face Recognition with Python and FaceNet
This guide demonstrates how to use facenet-pytorch to implement a tool for detecting face similarity....
Mastering Distributed Machine Learning: How to 10X Your PyTorch Training Speed with Ray & DDP
Key Takeaways Distributed Machine Learning (DML) is now essential for scaling modern AI...
🔥 Why Your Deep Neural Network Fails at Layer 50 (And How ResNet Fixes It)
TL;DR: 💡 Training networks deeper than 20 layers? You're probably hitting the degradation problem ✅...
PyTorch Fundamentals: A Beginner-Friendly Guide
If you are starting your journey in artificial intelligence (AI) or deep learning, PyTorch is one of...
How to Train AI Model
Training a model using modern AI techniques involves several steps, and the process can vary...
Key Insights Gained from Building and Training LLM
Table of Contents Introduction Architecture of the LLM Byte pair encoding (BPE)...
CocoCaptions in PyTorch (3)
Buy Me a Coffee☕ *Memos: My post explains CocoCaptions() using train2014 with...
ElasticTransform in PyTorch (2)
Buy Me a Coffee☕ *Memos: My post explains ElasticTransform() about no arguments, alpha argument...
CocoDetection in PyTorch (1)
Buy Me a Coffee☕ *Memos: My post explains CocoDetection() using train2017 with...
Code Review: Deep Dive into vLLM's Architecture and Implementation Analysis of OpenAI-Compatible Serving (1/2)
Introduction vLLM [1, 2] is a fast and easy-to-use library for LLM inference and...
torch.compile()
Introduction to torch.compile torch.compile이란? torch >= 2.0이후에 pytorch code의 speed를...
CocoDetection in PyTorch (2)
Buy Me a Coffee☕ *Memos: My post explains CocoDetection() using train2014 with...
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
Discover how attention revolutionized deep learning through hands-on implementation and mathematical...
Building a Sentiment Analysis Model with LSTMs in PyTorch
A step-by-step guide to understanding and implementing a bidirectional LSTM for sentiment analysis on movie reviews using PyTorch.
Rock-Paper-Scissors with Neural-Networks!
I have created code that trains on YOUR moves (i.e if you have easily recognisable patterns, it will...