Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
trained on millions of images of the ImageNet dataset, the first layers of the network tend to extract low-level features (such as lines, edges or color gradients) whereas final convolution layers react to more complex notions (such as specific shapes and patterns). According to Johnson et. al,