Photo by <a href="https://unsplash.com/photos/2bJGj7sIclQ">Sam Deng</a>. Some rights reserved.

Building a Regression Model in PyTorch

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data from scikit-learn and adapt it […]

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Building a Multiclass Classification Model in PyTorch<br/>Photo by <a href="https://unsplash.com/photos/0BoRlSmNmc0">Cheung Yin</a>. Some rights reserved.

Building a Multiclass Classification Model in PyTorch

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this tutorial, you will discover how to use PyTorch to develop and evaluate neural network models for multi-class classification problems. After completing this step-by-step tutorial, you will know: How to load data from CSV and […]

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Using Autograd in PyTorch to Solve a Regression Problem

We usually use PyTorch to build a neural network. However, PyTorch can do more than this. Because PyTorch is also a tensor library with automatic differentiation capability, you can easily use it to solve a numerical optimization problem with gradient descent. In this post, you will learn how PyTorch automatic differentiation engine, autograd, works. After […]

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Manipulating Tensors in PyTorch. Photo by <a href="https://unsplash.com/photos/n4BW2LPf7t8">Big Dodzy</a>. Some rights reserved.

Manipulating Tensors in PyTorch

PyTorch is a deep learning library. Just like some other deep learning libraries, it applies operations on numerical arrays called **tensors**. In the simplest terms, tensors are just multidimensional arrays. When we are dealing with the tensors, there are some operations that are used very often. In PyTorch, there are some functions defined specifically for […]

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