Aug 29, 2025 · 11 min read · 🚀 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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Jun 3, 2025 · 2 min read · 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...
Join discussionJul 27, 2024 · 8 min read · 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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Apr 22, 2023 · 1 min read · 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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Jan 13, 2023 · 3 min read · 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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Nov 8, 2022 · 13 min read · 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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Jun 11, 2022 · 3 min read · 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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