 DeepPicar uses almost the exact same network architecture---9 layers, 27 million connections and 250K parameters---and can be trained to drive itself , in real-time , using a web camera and a modest Raspberry Pi 3 quad-core platform.
<clarity>  DeepPicar uses almost the exact same network architecture---9 layers, 27 million connections and 250K parameters---and can be trained to drive itself , in real-time , using a web camera and a modest Raspberry Pi 3 quad-core platform.
 DeepPicar uses almost the exact same network architecture---9 layers, 27 million connections and 250K parameters---and can be trained to drive itself , in real-time , using a web camera and a Raspberry Pi 3 quad-core platform.