code: def __init__(self, learning_rate=0.01):
      self.learning_rate = learning_rate
      self.G = None  # Sum of squares of the gradients
      self.eps = 1e-8
  
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 Adagrad object  with example: obj = Adagrad(learning_rate)