All drills

Learn Fast Convolutional Neural Networks

What you'll be able to do

Build the workhorse of computer vision — CNNs for classifying and recognizing images, the basis of most vision products.

Google Photos/Lens, Apple on-device recognition, Tesla Autopilot perception, content tagging, and medical imaging.
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Sections

1. Learn Fast Convolutional Neural Networks
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2. Convolution Network
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3. How to train the classifier
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4. Training the Flower Model
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5. Beyond Flowers: Surprising Applications of CNNs
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Dig deeper

📄ImageNet Classification with Deep CNNs / AlexNet (Krizhevsky et al., 2012)
paper
📄Gradient-Based Learning Applied to Document Recognition / LeNet (LeCun et al., 1998)
paper
🔗Convolutional Neural Networks — Stanford CS231n
article

Part of these learning paths

I'm a software engineer and I want to specialize in computer vision
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