reduce() method applies a function simultaneously against two values of the array (from left-to-right) as to reduce it to a single value. Syntax array.reduce(callback[, initialValue]); Parameter Details callback − Function to…
PyTorch includes a special feature of creating and implementing first neural network. In this chapter, we will create a simple neural network with one hidden layer developing a single output…
push() method appends the given element(s) in the last of the array and returns the length of the new array. Syntax array.push(element1, ..., elementN); Parameter Details element1, ..., elementN − The…
In this chapter, we will discuss Machine-Learning vs. Deep-Learning in PyTorch. The major difference between Machine and Deep learning concepts. Amount of Data Machine learning works with different amounts of…
pop() method removes the last element from an array and returns that element. Syntax array.pop(); Return Value Returns the removed element from the array. Example var numbers = [1, 4,…
map() method creates a new array with the results of calling a provided function on every element in this array. Syntax array.map(callback[, thisObject]); Parameter Details callback − Function that produces an…
lastIndexOf() method returns the last index at which a given element can be found in the array, or -1 if it is not present. The array is searched backwards, starting…
In this guide, we will learn Universal Workflow of Machine Learning. Artificial Intelligence is trending nowadays to a greater extent. Machine learning and deep learning constitutes artificial intelligence. The Venn…
In this guide, we will discuss Neural Network Basics of PyTorch. The main principle of neural network includes a collection of basic elements, i.e., artificial neuron or perceptron. It includes…
join() method joins all the elements of an array into a string. Syntax array.join(separator); Parameter Details separator − Specifies a string to separate each element of the array. If omitted, the…