We can better understand deep neural networks by identifying which features each of their neurons have learned to detect. To do so, researchers have created Deep Visualization techniques including activation maximization, which synthetically generates inputs (e.g. images) that maximally activate each neuron. A limitation of current techniques is that they assume each neuron detects only one typ...

Clinical signs of upper motor neuron involvement are an essential observation to support the diagnosis of amyotrophic lateral sclerosis. However, clinical signs of upper motor neuron can be difficult to elicit in patients with motor neuron disease. One postulated reason for this problem is the presence of marked limb weakness and amyotrophy in motor neuron disease. This has been observed in pat...

As the technology improves, there are many new innovations which give security frameworks with different methods that used to identify a person. Signature recognition is one of In this paper, offline signature using back propagation neuron network system and image processing techniques has been proposed. Preprocessing can be done involves RGB2Gray conversion, filtering, adjusting, thresholding ...