Logistic Regression is a Classification algorithm employed when only two possible outcomes exist. The applications having binary possibilities include spam detection, cancer tumour detection, fraudulent transaction detection etc. Let us learn about Logistic Regression...
Tensor is the data-type in which all the deep learning models using pytorch are built. They are just like numpy arrays with the added advantage that they can be loaded on a GPU. The...
The inspiration for neural Networks in Deep Learning comes from the human brain’s neural networks. Analogous to the human brain, these neural networks, popularly called Artificial Neural Networks, are a collection of connected nodes...
In this article, we will see the basic building blocks of neural network like scalar, matrices, vectors, calculus, probability etc. Let’s start!!! Introduction Mathematics forms the core of machine learning as all the machine...
Supplementing one’s learning with books never goes in vain. On the contrary reading books helps define a structure and approach to learning new technology and PyTorch is no exception. Reading books solidifies the concepts...
PyTorch is a Deep Learning library that has several libraries dedicated to different purposes. The most important of them is torch.nn which helps us create neural layers. Other libraries such as torch.nn.functional, torch.optim, torch.Tensor...
In this article, we will learn about PyTorch Terminologies. So let’s see the PyTorch Glossary!! PyTorch Terminologies 1. Batch Size It is the number of samples that are fed into the neural network at...
In this tutorial, we will learn an introduction to PyTorch, what it is, its need, history and features. Let’s start!!! What is PyTorch? PyTorch is a deep learning framework that enables us to make...
PyTorch is a machine learning and deep learning framework that provides easy and efficient tools to tackle various complicated tasks. It can easily be downloaded from the official PyTorch website using conda or pip...
