Google open sources neural network art tool DeepDream. Here is a fantastic example of what artists/developers are already doing with it. first tests playing with #deepdream #inceptionism A visualisation of what's happening inside the mind of an artificial neural network. In non-technical speak: An artificial neural network can be thought of as analogous to a brain (immensely, immensely, immensely simplified. nothing like a brain really). It consists of layers of neurons and connections between neurons. Information is stored in this network as 'weights' (strengths) of connections between neurons. Low layers (i.e. closer to the input, e.g. 'eyes') store (and recognise) low level abstract features (corners, edges, orientations etc.) and higher layers store (and recognise) higher level features. This is analogous to how information is stored in the mammalian cerebral cortex (e.g. our brain). Here a neural network has been 'trained' on millions of images - i.e. the images have been fed into the network, and the network has 'learnt' about them (establishes weights / strengths for each neuron). Then when the network is fed a new unknown image (e.g. me), it tries to make sense of (i.e. recognise) this new image in context of what it already knows, i.e. what it's already been trained on. This can be thought of as asking the network
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