Jun 5, 2025 · 17 min read · In my previous article, we’ve learnt about neural networks, the intuition and the theory behind them. (Although I glossed over forward and backward propagation, don’t worry we’ll go over them clearly today!) In this article, I’m going to go through t...
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Oct 30, 2024 · 3 min read · Neural networks are essential for many modern AI applications, from image recognition to natural language processing. Two fundamental processes that enable these networks to learn from data are Forward Propagation and Backpropagation. Let’s explore t...
Join discussionJan 10, 2024 · 3 min read · Introduction: In the intricate tapestry of deep learning, two essential processes govern the evolution of neural networks—Forward Propagation and Backward Propagation. These mechanisms, akin to the synapses firing in our brain, orchestrate the learni...
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Jun 9, 2023 · 3 min read · INTRODUCTION Unlocking the intricacies of neural networks, we delve into the manual calculations of forward and backward propagation. By dissecting the derived equations, we gain insight into how information flows and parameters are optimized. Join u...
Join discussionJun 6, 2023 · 12 min read · INTRODUCTION In the realm of deep learning, Convolutional Neural Networks (CNN) have emerged as a game-changer, revolutionizing the field of computer vision and image analysis. With their ability to extract meaningful features from visual data, CNNs ...
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