Brain tumor detection using CNN

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 Convolution Neural Network:

In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of artificial neural network, most commonly applied to analyze visual imagery.[1] They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on the shared-weight architecture of the convolution kernels or filters that slide along input features and provide translation equivariant responses known as feature maps. Counter-intuitively, most convolutional neural networks are only equivariant, as opposed to invariant, to translation.


This is how a general Convolution neural network works internally . But we in this project will create more complex neural network using more number of nodes , which will result in greater no. of filter checks which  will increase the accuracy rate

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