This short and straight-to-the-point article shows you two different ways to measure the execution time of a piece of Python code in Google Colab. Using %timeit The %timeit magic function (function with a prefix is a…

When using Google Colab, you can install a Python library by running the following: If you want to work with a specific version of a package: In case you wish to upgrade a module to the…

The examples below show you a couple of different ways to reverse a tensor in Tensorflow 2. Using the tf.reverse() function The tf.reverse() function can be used to flip specific dimensions of a tensor. Example: Output:…

This concise post shows you 2 ways to print only the value of a tensor in Tensorflow 2. Using the tf.print() function Example: Output: Using the print() function will result in the following: Reference: https://www.tensorflow.org/api_docs/python/tf/print Using…

In simple words, aggregating means condensing the from multiple values down to a smaller amount of values. You can find a more formal definition in the Cambridge dictionary or Merriam Webster dictionary. This article shows you…

This guide shows you how to perform the four arithmetic operations on tensors in Tensorflow 2: addition, subtraction, multiplication, and division. Addition You can add values to a tensor using the Python math addition operator or…

Expanding a tensor means adding a dimension (or an axis) to it. The two examples below show you two different ways to expand a tenor in Tensorflow 2. Example 1: Using tf.newaxis The code: Output: Example…

This article shows you a couple of different ways to create random tensors with Tensorflow 2. Using tf.random.Generator Example: Output: Shuffling the Order of Elements in a Tensor Another technique to produce a random tensor is…

You can convert a tensor to a numpy array with ease by using the tensor.numpy() method or the np.array() function. Example: Output: Hope this helps!

A tensor is a multi-dimensional array with a uniform type. It is the standard data format used in Tensorflow. Below are a few examples of creating tensors from Numpy arrays by using tf.convert_to_tensor and tf.constant functions….

This article will introduce you to some useful tips when writing and running code on Google Colab. Your work and research will be a little faster, a little more comfortable, a little more pleasant. Dark Mode…

It is difficult to determine which is the best among deep learning frameworks because each has its own strengths in different scenarios. However, it is quite possible to know which deep learning frameworks are trendy and…