pytorch introduction

What is Pytorch? PyTorch is a small part of a computer software which is based on Torch library. It is a Deep…

Testing of LeNet Model for CIFAR-10 Dataset In the previous topic, we found that our LeNet Model with Convolutional Neural Network was…

Linear Regression Linear regression is a way to find the linear relationship between the dependent and independent variable by minimizing the distance.…

Testing of Perceptron Model The purpose of the perceptron model is to classify our data and tell us about the chances of…

Loss Function in PyTorch In the previous topic, we saw that the line is not correctly fitted to our data. To make…

Creating Data Model using Custom Module There is another way to find the prediction. In the previous section, we find the prediction…

Mean Squared Error Mean Squared Error is calculated in much the same way as the general loss equation from earlier. We will…

Data Augmentation Process Previously, we saw a significant increment in model accuracy. Our model was effectively trained to classify the training data.…

MNIST Dataset of Image Recognition in PyTorch In this topic, we will discuss a new type of dataset which we will use…

Deep Learning Deep learning is a set of algorithms used in Machine Learning. It is a part of machine learning methods based…