¡Hola, Mundo!

IoUIntersection over Union, is used to evaluate the performance of object detection by comparing the ground truth bounding box to the preddicted bounding box. Ground Truth bounding boxHand labeled, the actual images themselves.  Computing Intersection over UnionIt can therefore be determined via :- The numerator : we compute the area of overlap between the predicted bounding box and the ground-t..

The idea behind the attention mechanism is that the decoder refer to entire input statement of encoder at every steps. It will focus on the word(from encoder) which has more related to the word(decoder) to be predicted. The result from the Softmax helps when Decoder predict the output word. The size of red rectangle represents how it helps to predict. The larger the rectangle, more helpful to pr..

This is a note from coursera lecture : https://www.coursera.org/learn/cnns-and-rnns The final result after convolution and pooling is feature map. How many numbers in ther filter needed? Number of input channels x filtersize x Number of output channels. Assuming that filter size is 3 x 3. The number of numbers in the filter that I need to fill is n x 3 x 3 x m. For example, if the size of input ..

This is a note from coursera lecture : https://www.coursera.org/learn/cnns-and-rnns Is CNN fully connected neural network or no? The image above is showing that left is fully connected neural network, right is not. The right image is CNN neural network. CNN is same structure as fully connected neural network but some of weight of connections are zero. So it is partially connected neural network ..

Convolution(합성곱) The step to get the result as below. (1×1) + (2×0) + (3×1) + (2×1) + (1×0) + (0×1) + (3×0) + (0×1) + (1×0) = 6 image(입력) - 3-dimension tensor, [height, width, channel]. - Height, width are the number of pixel. Kernel The 2D matrix which has the size of HTML 삽입 미리보기할 수 없는 소스 It usually (3 x 3) or (5 x 5). Steps 1. The kernel scans the image from the first to the end in order. The..