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How do I train a CNN using my own dataset?

That largely depends on the framework you're using. For Torch, there's torchvision.datasets.ImageFolder with ToTensor() ...
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UpConvolution feature extraction

Upconvolutional layers are used to expand the spatial size of the input. So they do not "generate" features. It's just resizing itself. It does generates some numbers but these numbers are ...
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What can we learn from visualizing Feature Maps

It is not a question of "noise", but rather granularity. Typically, first few Conv layers learn low-level features (e.g. corners, edges, …etc.), and as you go deeper, the network learns more ...
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how does convolutional layer work?

Usually, the expected input to a 2D convolutional layer is an image of size (width, height, channels). A filter is applied to each channel of this input image separately and the result is one 2d ...
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how does convolutional layer work?

A single convolutional layer has multiple filters and each one is different from the others. Therefore, a single convolutional layer can detect multiple features.
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