Dynamic Graph Architecture: Enabling Composite Networks DeepTrainer Technical Update The evolution of neural network architectures moves rapidly. Recently, the rise of Deep Residual Learning (ResNet) caught my attention. The core concept—introducing “skip connections” where the input of a layer is added to the output of a later layer—presented a challenge for DeepTrainer’s existing architecture. My […]