1. How to solve face recognition problem with one-shot learning, which uses Siamese Network and Triplet loss function. 2. Face verification problem with binary classification, intr
Notebook archive
Writing notes
Loose pages, technical margins, and small notes gathered into a readable stack.
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1. Algorithms for object detection. Object Detection Object detection contains 'Object Localization' and 'Landmark Detection'. --- Object Localization --- 1. Image classification (
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1. Classic networks like LeNet-5, AlexNet and VGG; 2. Architectures like ResNet and Inception Net to improve performance of CNNs; 3. MobileNets to allow mobile devices to run apps
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Brief Introduction of Convolutional Neural Network, related architectures and computer vision practice --- Computer Vision Problems 1. Image Classification e.g. given an image of 6
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Delete after finish YOLO algorithm. 1. convolution (asterisk) 2. filter(kernel) 3. image filter = new image 4. python: conv forward, tensorflow: tf.nn.con2d, keras: conv2D 5. edge
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-- 1. arguments: 实参, 调用函数时传入的参数 2. parameters: 形参, 定义函数时包含的参数 3.
