PyTorch

In this chapter, we will be focusing on basic example of linear regression implementation using TensorFlow. Logistic regression or linear regression is a supervised machine learning approach for the classification…

In this guide we will discuss how to loading data in PyTorch. PyTorch includes a package called torchvision which is used to load and prepare the dataset. It includes two…

In this chapter, we will discuss some of the most commonly used terminologies in PyTorch. PyTorch NumPy A PyTorch tensor is identical to a NumPy array. A tensor is an…

In this guide, we will discuss Neural Networks to Functional Blocks in PyTorch. Training a deep learning algorithm involves the following steps − Building a data pipelineBuilding a network architectureEvaluating…

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…

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…

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…

In this guide, we will discuss about Mathematical Building Blocks of Neural Networks.Mathematics is vital in any machine learning algorithm and includes various core concepts of mathematics to get the…

In this guide, we will learn about Installation of PyTorch. PyTorch is a popular deep learning framework. In this tutorial, we consider “Windows 10” as our operating system. The steps…