How to optimize a Keras neural network with the TensorFlow Adam optimizer in Python

Optimizing a Keras neural network with the Adam optimizer results in a model that has been trained to make predictions accuractely.

Solution for How to optimize a Keras neural network with the TensorFlow Adam optimizer in Python : You can use tensorflow.keras.optimizers.Adam() to optimize a Keras neural network with the TensorFlow Adam optimizer

  1. Create a tensorflow.keras.Model to use with the Adam optimizer.
  2. Call tf.keras.optimizers.Adam(learning_rate=a, beta_1=B1,beta_2=B2, epsilon=e, amsgrad=False, name=”Adam”), where a, B1, B2, and e are the alpha, beta1, beta2 and epsilon values respectively, to return an instance of the Adam optimizer.
  3. Call model.compile(optimizer = optimizer, loss = loss_type), where optimizer is the optimizer returned in the last step and loss_type is the way to determine loss, to compile an optimized neural network.


how-to-optimize-a-keras-neural-network-with-the-tensorflow-adam-optimizer-in-python