tf.train.GradientDescentOptimizer

ClassGradientDescentOptimizer

Inherits From:Optimizer

Defined intensorflow/python/training/gradient_descent.py.

See the guide:Training > Optimizers

Optimizer that implements the gradient descent algorithm.

Methods

__init__

__init__(
    learning_rate,
    use_locking=False,
    name='GradientDescent'
)

Construct a new gradient descent optimizer.

Args:

• learning_rate : A Tensor or a floating point value. The learning rate to use.
• use_locking : If True use locks for update operations.
• name : Optional name prefix for the operations created when applying gradients. Defaults to "GradientDescent".

Reference

[0] https://www.tensorflow.org/api_docs/python/tf/train/GradientDescentOptimizer