LayanCS

import numpy as np
# SOURCE: https://www.deeplearning.ai/deep-learning-specialization/
def initialize_adam(parameters) :
    """
    Initializes m and v as two python dictionaries with:
                - keys: "dW1", "db1", ..., "dWL", "dbL" 
                - values: numpy arrays of zeros of the same shape as the corresponding gradients/parameters.
    
    Arguments:
    parameters -- python dictionary containing your parameters.

LayanCS

import torch

torch.optim.Adam(params, lr=0.001, betas=(0.9, 0.999), 
                 eps=1e-08, weight_decay=0, amsgrad=False)

LayanCS

import tensorflow as tf

tf.keras.optimizers.Adam(
    learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False,
    name='Adam')

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