Breast cancer has been dangerous form of cancer. In this report, we use a convolutional neural network to scan and separate infected cells. In this we diagnose if its benign or malignant cancer bulk using computer assisted detection (CAD). The productivity of open CAD has always been inadequate. Here, we use a deep CNN-based content detection method. We create narrower and broader images of histology patches with cell and tumour attributes. CNN constitutes unorganized data specifically for image data which has been said to be thriving in the area of image recognition. We use highly interconnected layer first cnn, in which those layers are incorporated before the first convolutional layer, since CNN does not support data sets.