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RRishikantrishiii2.hashnode.dev11h ago · 7 min read

Giving AI the Gift of Sight: The Math of Convolutional Neural Networks (CNNs)

In our previous posts, we built Deep Neural Networks and learned how to stabilize them using Batch Normalization. To process an image, we took a 28x28 grid of pixels and "flattened" it into a massive

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SSSaptarshi Sarkarsaptarshisarkar.hashnode.devJun 10 · 5 min read

The Anatomy of Catastrophic Forgetting

We train a model on handwritten digit classification. 99% accuracy. Then we train the same model on a new task — say, fashion item recognition. We go back and test it on digits. 34% accuracy. It has c

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JBJohn Boamahtimelinelogs.hashnode.devAug 9, 2025 · 9 min read

Log#3: CNN Visualizer - Part 2

Learning Objectives By the end of Log #3, you should be able to: Load pretrained CNN models like ResNet18 and ResNet50 using PyTorch’s torchvision.models. Automatically use the official preprocessing transforms from the selected model’s weights. E...

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JBJohn Boamahtimelinelogs.hashnode.devAug 3, 2025 · 5 min read

Log#2: CNN Visualizer - Part 1

Learning Objectives By the end of Log#2, you should be able to: Set up a FastAPI backend for the CNN Visualizer project. Install and understand the core packages required for a deep learning backend. Create health check endpoints and test them wit...

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RTRetzam Tarleretzam.hashnode.devMar 24, 2025 · 4 min read

Code: Convolutional Neural Network

Aloha 🕶️, In this chapter, we’ll put our knowledge of CNN into practice. We’ll train a Convolutional Neural Network (CNN) to predict human emotions from images 👽. We learned about CNN in Chapter 22. Problem Train a CNN model to predict human emotio...

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RTRetzam Tarleretzam.hashnode.devFeb 10, 2025 · 3 min read