code: def __init__(self, learning_rate=0.01, rho=0.9):
      self.learning_rate = learning_rate
      self.Eg = None  # Running average of the square gradients at w
      self.eps = 1e-8
      self.rho = rho
  
file_path: ML-From-Scratch/mlfromscratch/deep_learning/optimizers.py
imports: import numpy
  from mlfromscratch.utils import make_diagonal, normalize
label_desc: Use image node_id 1 to create a new RMSprop object  with example: obj = RMSprop(learning_rate, rho)