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Machine Learning

Deep Dive into GPU Compute Hierarchy

Posted on May 1, 2025May 1, 2025 by Mrukant Popat

Modern NVIDIA GPUs are feats of hierarchical design, optimized to maximize parallelism, minimize latency, and deliver staggering computational throughput. Building upon Part 1, which introduced the high-level architecture of NVIDIA GPUs, this is Part2 – a Deep dive into GPU Compute Hierarchy: Graphics Processing Clusters (GPCs), Texture Processing Clusters (TPCs), Streaming Multiprocessors (SMs), and CUDA…

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✅ Introduction to NVIDIA GPU Architecture: Hierarchy, Cores, and Parallelism

Posted on April 22, 2025May 1, 2025 by Mrukant Popat

👋 Welcome to GPU Architecture 101 In this first post in five-part series, where I introduce you to the NVIDIA GPU architecture—a foundation for parallel computing used in gaming, scientific computing, artificial intelligence, and more. This guide is designed for engineering students and beginner developers who want to understand how modern GPUs work—from their evolution…

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A Deep Dive into PyTorch’s GPU Memory Management

Posted on September 3, 2024May 1, 2025 by Mrukant Popat

Here is an error I got when using an image generation deep learning model. It is a common error Engineers get when using PyTorch on GPU. To solve this error, a deep dive into PyTorch’s GPU Memory management is needed. So fasten your seat belts 🙂 torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 58.00…

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🚀 The Evolution of YOLO 🚀

Posted on August 27, 2024August 27, 2024 by Mrukant Popat

The YOLO (You Only Look Once) series is a real-time object detection algorithm that uses convolutional neural network (CNN). It has dramatically shaped the landscape of real-time computer vision. Each iteration of YOLO brings something unique to the table, enhancing the capabilities and applications of object detection. Let’s dive into the evolution of Yolo, details…

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Basic Machine Learning Optimization Algorithms

Posted on July 6, 2024May 1, 2025 by Mrukant Popat

Learn basic machine learning optimization algorithms. Explore Gradient Descent, and ADAM, which employs adaptive learning rates for each parameter.

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Hand written notes on Neural Networks and ML course by Andrew Ng

Posted on June 25, 2024June 25, 2024 by Mrukant Popat

About 2018 when I started working on Machine learning I took many courses. Here are my hand written notes on Neural Networks and ML course by Andrew Ng. It focuses on the fundamental concepts covered in the course, including Logistic Regression, Neural Networks, and Softmax Regression. Buckle up for some equations and diagrams! Part 1:…

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Rust Programming Language learning roadmap

Posted on March 26, 2024April 4, 2024 by Mrukant Popat

Rust is a multi-paradigm, general-purpose programming language exploding in popularity. But what makes it special? Rust offers a unique blend of blazing speed, unparalleled memory safety, and powerful abstractions, making it ideal for building high-performance, reliable systems. This blog delves into the Rust Programming Language learning roadmap Why Embrace Rust? Language Fundamentals: Understanding the Building…

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What is Null and Alternative Hypothesis

Posted on December 12, 2023March 9, 2024 by Mrukant Popat

A detailed description on the foundational but confusing topic of What is Null and Alternative Hypothesis

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Supervised Machine Learning for Beginners

Posted on November 24, 2023April 2, 2024 by Mrukant Popat

Hand written notes on Supervised Machine Learning

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