What is tf stack

This recipe explains what is tf stack

Recipe Objective

What is tf.stack?

This stacks a list of rank for e.g. "R" tensors into one rank e.g "(R+1)" tensors. In this function the list of tensors are packed in values into a tensor with the rank which is one higher than each tensor in values, by packing them along the axis dimension. Lets say we have tensor of shape "(X, Y, Z)" and the given list of length "L". If the axis == 0 then tensor output will be the shape of "(L, X, Y, Z)" and if the axis == 1 then the tensor output will be the shape "(X, L, Y, Z)".

Build a Chatbot in Python from Scratch!

Step 1 - Import library

import tensorflow as tf

Step 2 - Take a Sample data

A = tf.constant([2,3]) B = tf.constant([4,5]) C = tf.constant([6,7])

Step 3 - Perform Stack

stack = tf.stack([A, B, C]) stack

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