TensorFlowLesson 20Free preview

TFJS Operations

This lesson is part of A.I. · All levels

Summary

TensorFlow provides basic operations on tensors such as addition, subtraction, division, and multiplication of elements per element. In addition there is a matrix operation such as tf.matMultiply that multiplies two tensors according to the matrix multiplication rule. The tensor shape must be compatible for the operation to run.

Key points

The element operation: add, sub, mul, div on the tensor of a form.
Tf.matMul multiply the matrix by the rule of dimensions (m×n) × (n×p).
The tensor shape must be compatible, e.g. [1,3] can be multiplied by [3,1].
The result of the operation is a new tensor, not a change in the original tensor.

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