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MAMuhammad Ariel Shakaramiroshaka-ai.hashnode.devSep 5 · 11 min read

Deep Learning & PyTorch: Neural Network Theory + Hands-On MNIST Classification

My mental model of deep learning used to be simple: feed it data, get a prediction, done. Turns out there's a much more grounded process behind that — artificial neurons that start knowing nothing, ge

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DVDivya Vetriveerancstales.hashnode.devAug 29, 2025 · 11 min read

From Basics to Application: A Deep Dive into Convolutional Neural Networks

🚀 Introduction Have you ever wondered how your phone recognizes faces, how self-driving cars detect objects, or how Google Photos organizes images? The secret lies in Convolutional Neural Networks (CNNs). CNNs are a type of deep learning model desig...

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KRKhushi Rawathandsonbookchapter1.hashnode.devJun 3, 2025 · 2 min read

Cleaning Digits with ML: A Journey Through Chapter 3 of Hands-On ML

If you're diving into the world of machine learning, the MNIST dataset is often your rite of passage. It's a set of 70,000 grayscale images of handwritten digits (0–9), used for classification tasks. In Chapter 3 of Hands-On Machine Learning with Sci...

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SDSisir Dhakalsisirdhakal.hashnode.devJul 27, 2024 · 8 min read

How Convolutional Neural Networks (CNNs) Work: A Practical Guide with MNIST

Introduction In the deep learning domain, one area that has really taken a revolutionary turn is that of Convolutional Neural Networks (CNNs) to enable machines to see images. What makes facial recognition, self-driving cars, and even medical image a...

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AAAyokunle Adeniyikunle.hashnode.devApr 22, 2023 · 1 min read

Naive Hyperparameter Exploration using MNIST

For deep learning enthusiasts, working with the MNIST dataset is the equivalent of writing the "hello world" program when learning a new scripting language like Python, JavaScript etc. In this project, I experiment with the vast and highly dimensiona...

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MWMathias Winther Madsentodayilearned.hashnode.devJan 13, 2023 · 3 min read

A 96% Accurate OCR System from 1959

Here's an interesting idea: instead of measuring the similarity of two black and white images by counting the number of identical pixels, group the pixels randomly into pairs and count the number of identical pairs. Once you have defined this altern...

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SMSaket Munda5aket.hashnode.devNov 8, 2022 · 13 min read

Determine handwritten digits using Neural Network

Introduction Finally, as the Prince was promised, this blog was also promised tons of weeks back and here it is. Part 2 : End-to-End Implementation using TensorFlow for determining handwritten digits. Previously on Part 1: The Concept, we have looked...

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RNRohith NDndrohith09.hashnode.devJun 11, 2022 · 3 min read

Hand Digit Prediction using Neural Networks and Tensorflow

In this blog, I'll show you how to train a neural network model using the MNIST dataset, as well as how to predict the digits in them using images. Make sure you have the Tensorflow package installed, as it will be utilised as a Deep Learning library...

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#mnist

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Trending tags this week

Deep Learning & PyTorch: Neural Network Theory + Hands-On MNIST Classification

From Basics to Application: A Deep Dive into Convolutional Neural Networks

Cleaning Digits with ML: A Journey Through Chapter 3 of Hands-On ML

How Convolutional Neural Networks (CNNs) Work: A Practical Guide with MNIST

Naive Hyperparameter Exploration using MNIST

A 96% Accurate OCR System from 1959

Determine handwritten digits using Neural Network

Hand Digit Prediction using Neural Networks and Tensorflow