{"id":1,"date":"2017-12-19T09:51:54","date_gmt":"2017-12-19T08:51:54","guid":{"rendered":"https:\/\/kim.hfg-karlsruhe.de\/?p=1"},"modified":"2021-10-21T15:44:54","modified_gmt":"2021-10-21T13:44:54","slug":"neural-network-chart","status":"publish","type":"post","link":"https:\/\/kim.hfg-karlsruhe.de\/neural-network-chart\/","title":{"rendered":"The mostly complete chart of Neural Networks, explained"},"content":{"rendered":"
“The zoo of neural network types grows exponentially. One needs a map to navigate between many emerging architectures and approaches.\u00a0Fortunately, Fjodor van Veen<\/a> from Asimov institute<\/a> compiled a wonderful cheatsheet on NN topologies. If you are not new to Machine Learning, you should have seen it before.” (Andrew Tchircoff on Medium)<\/p>\n