tf.compat.v1.argmax

Returns the index with the largest value across axes of a tensor. (deprecated arguments)

tf.compat.v1.argmax(
    input,
    axis=None,
    name=None,
    dimension=None,
    output_type=tf.dtypes.int64
)

Used in the notebooks

Used in the tutorials

Note that in case of ties the identity of the return value is not guaranteed.

import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32, 62.3]
b = tf.math.argmax(input = a)
c = tf.keras.backend.eval(b)
# c = 4
# here a[4] = 166.32 which is the largest element of a across axis 0

input A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64, qint8, quint8, qint32, qint16, quint16, bool.
axis A Tensor. Must be one of the following types: int16, int32, int64. int16, int32 or int64, must be in the range [-rank(input), rank(input)). Describes which axis of the input Tensor to reduce across. For vectors, use axis = 0.
output_type An optional tf.DType from: tf.int16, tf.uint16, tf.int32, tf.int64. Defaults to tf.int64.
name A name for the operation (optional).

A Tensor of type output_type.