5 Computer vision and convolutional neural networks
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Computers and images
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Computer vision tasks
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Traditional computer vision
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What’s hard about computer vision tasks?
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Convolutional neural networks
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Convolutions
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Filter size, strides, padding, and pooling
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A basic CNN architecture
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Some important CNN model architectures for computer vision tasks
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AlexNet
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ResNet
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U-Net for semantic segmentation
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YOLO for object detection
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Image generation with GANs
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Common CNN techniques
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Regularization
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Dropout
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L1 and L2 Regularization
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Data augmentation
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Batch normalization
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Gradient descent algorithms
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Stochastic gradient descent
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Adam
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Transfer learning
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Feature transfer
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Fine tuning
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Summary and resources
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