Task: Implement Caffe Learning Rate Policy Calculator
Task: Implement Caffe Learning Rate Policy Calculator: a task in Terminal-Lego-15k (Harbor dataset). In the Caffe deep learning framework, the lr policy parameter in solver configuration controls how the learning rate changes during training. Your task is to implement a Python script that…
The task
In the Caffe deep learning framework, the `lr_policy` parameter in solver configuration controls how the learning rate changes during training. Your task is to implement a Python script that calculates the learning rate at any given iteration for all standard Caffe learning rate policies.
Part of PrimeIntellect/Terminal-Lego-15k.