inception-v1 : Going deeper with convolutions
The main hallmark of this architecture is the improved utilization of the computing resources inside the network. This was achieved by a carefully crafted design that allows for increasing the depth and width of the network while keeping the computational budget constant. To optimize quality, the architectural decisions were based on the Hebbian principle and the intuition of multi-scale processing.
- inception-v1 Architectural Details
- GoogLeNet
- Training Methodology
- ILSVRC 2014 Classification Challenge Setup and Results
