CNN stands for Convolutional Neural Networks. Classification has been a popular application of Machine Learning. CNN models are good at detecting patterns and are therefore employed mostly for problems related to image classification/recognition, such...
The basic construct of different parts of Neural Networks remains the same for different applications. Therefore it would make little sense to code the standard modules and classes over and over again. PyTorch torch.nn...
After a model is built, we train it using our dataset. To do so, we must calculate the loss and optimise the model accordingly. Optimising the parameters is the essential step of the training...
Autograd is used to compute gradients involving complex functions in a neural network. In building a model, we need to compute the loss, which is the deviation of the predicted output from the given...
We have all wondered how Google knows what you want to search for even before you complete the sentence. Or how the big companies know the people’s opinions about something only with some reviews...
Linear Regression is an ML algorithm that tries to find a linear relationship between the inputs and the outputs of the training set. Then, based on this learned information, it tries to predict the...
Datasets are the most important part of any deep learning algorithm. Most of the time of a model building process is consumed by data. Before feeding the data we have collected to the model,...
In this article, you will see some of the top questions with answers on PyTorch. These will help you in clearing the PyTorch Interviews. Let’s start!! Basic PyTorch Interview Questions 1. What is a...
Google originally developed Tensorboard for Tensorflow, and since PyTorch 1.1.0, it has been added to it due to the collaboration with Google’s tensorboard team. It is a visualisation tool which helps us take a...
The availability of data has opened new fronts of research, and owing to the progress in Artificial Intelligence, we have moved way ahead in utilising these data for the purpose of security, marketing, business...
