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Convolutional Neural Networks are a type of neural network in which only subsets of possible connections between layers exist to create overlapping regions. They are commonly used for visual tasks.

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how does the addition of 1×1 layers reduce from the complexity and solve sparse structure in...

Based on the (going deeper with convolutions) paper. The inception module consists of multiple branches, each branch consists of convolution layer and each layer has a different kernel size for exampl …
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multiple output layer in tensorflow

I have code in Tensorflow using CNN model to detect text. The Model contain 9-conv layers flowed with RELU activation and 4-max pooling layers with window and stride equal to 2. image size is 224*224 …