## Tensorflow 2 – One Hot Encoding Examples

In simple words, one hot encoding means converting categorical variables into a form that could be taken by a machine learning algorithm for more effective prediction. In Tensorflow 2, you can do one-hot encoding by using…

## Tensorflow 2 – Removing all Single Dimensions from a Tensor

In Tensorflow 2, you can remove all size 1 dimensions from a given tensor by using the tf.squeeze function. Example: Output: You can find more information about the mentioned function in Tensorflow’s official docs. Further reading:…

## Tensorflow 2 – Get the Indices of Min and Max in a Tensor

In Tensorflow 2, you can get the indices of the minimum and maximum values in a given tensor by using the tf.argmin and tf.argmax functions, respectively. Example: Output: Further reading: Tensorflow 2 – Aggregation Operators on…

## Tensorflow 2 – Aggregation Operators on Tensors

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…

## Tensorflow 2 – Changing the Datatype of a Tensor

In Tensorflow 2, you can cast the datatype of a tensor to a new datatype by using the tf.cast function. The examples below will show you more clearly. Example 1 The code: Output: Example 2 The…

## Tensorflow 2 – Arithmetic Operations on Tensors

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…

## 2 Ways to Expand a Tensor in Tensorflow 2

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…

## 3 Ways to Create Random Tensors in Tensorflow 2

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…

## Tensorflow 2 – Using tf.Variable examples

Below are some practical examples of using tf.Variable, which can help you create modifiable tensors in Tensorflow 2. Example 1: Creating a New Variable and Assigning New Value The code: Output: Example 2: Adding/Subtracting Value The…

## Tensorflow – Converting Tensors to Numpy Arrays

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!

## Tensorflow 2: Convert Arrays to Tensors (2 Examples)

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….

## Useful Settings for Google Colab You Should Know

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…