Create array in tensorflow | Data Science tutorial | codin india

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 Hello! Welcome back to our tutorial.

Today we will learn how to create array in tensorflow.

What is tensorflow?

Tensorflow is open source platform for machine learning. It has comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-art in ML and developing easily build and deploy ML powered applications.

tensorflow image 

How to import Tensorflow?

   import tensorflow as tf

import numpy as np 


How to create array in tensorflow?

We have 2 methods to create array in tensorflow:-

  1.  Using tensorflow inbuilt function
  2. Using numpy

Let us understand it one by one.

1. Using Tensorflow's inbuilt function

 We can create array in tensorflow using  tensorflow's inbuilt function i.e. constant

arr  = tf.constant([1,2,3,4,5])

Let us understand by code:-

tensorflow array

What is constant?

constant is useful for asserting that the value can be embedded that way. If the argument dtype is not specified, then the type is inferred from the type of value

2. Using Numpy array 

Yes, you can create tensors using Numpy array. First you have to create array using numpy and then convert it to tensors using TensorfLow.

tf.convert_to_tensor(array_name)

Let us understand by Code:-

tensor using numpy array


You can do all numpy operation and just convert it to tensors using 

arr = tf.convert_to_tensor(array_name)


I hope you would like the post and enjoyed.

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