Unlocking Vision: A Beginner's Guide to How Computers 'See'
A beginner's guide to deep computer vision, explaining how Convolutional Neural Networks (CNNs) learn to 'see.'
#Computer Vision
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Supercharge Your Image Classifier: An Intro to Transfer Learning
A step-by-step tutorial on using transfer learning to build a highly accurate image classifier. It demonstrates how to load a pre-trained model (MobileNet V2), freeze its layers to preserve its learned knowledge, and then add and train a new custom classifier on top.
Building Your First Image Classifier: A Deep Dive into CNNs
A practical tutorial on building a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. Walk through the entire workflow, from data preparation and model architecture design to training and evaluation.