Inside an AI ’brain’ - What does machine learning look like ?
▻https://www.graphcore.ai/blog/what-does-machine-learning-look-like
Our Poplar graph compiler has converted a description of the network into a computational graph of 18.7 million vertices and 115.8 million edges. This graph represents AlexNet as a highly-parallel execution plan for the IPU. The vertices of the graph represent computation processes and the edges represent communication between processes. The layers in the graph are labelled with the corresponding layers from the high level description of the network. The clearly visible clustering is the result of intensive communication between processes in each layer of the network, with lighter communication between layers.
#IA #machine_learning #visualisation et sans doute un peu #cerveau via @micahstubbs