TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. argmin() is a method present in tensorflow math module. This method is used to find the minimum value across the axes.
Syntax: tensorflow.math.argmin( input,axes,output_type,name ) Arguments: 1. input: It is a tensor. Allowed dtypes for this tensor are float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. 2. axes: It is also a vector. It describes the axes to reduce the tensor. Allowed dtype are int32 and int64. Also [-rank(input),rank(input)) is the range allowed. axes=0 is used for vector. 3. output_type: It defines the dtype in which returned result should be. Allowed values are int32, int64 and the default value is int64. 4. name: It is an optional argument which defines name for the operation. Return: A tensor of output_type which contains the indices of the minimum value along the axes.
tensor: tf.Tensor(4, shape=(), dtype=int64) value: 4
This example uses a tensor of shape(3,3).
tf.Tensor( [[9 8 7] [3 5 4] [6 2 1]], shape=(3, 3), dtype=int32) Indices tensor: tf.Tensor([1 2 2], shape=(3,), dtype=int64) Indices: [1 2 2]
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