Though CNNs have mostly been used for computer vision tasks, nothing stops them from being used in NLP applications. One such application for which CNNs have been used effectively is sentence classification.

In sentence classification, a given sentence should be classified to a class. We will use a question database, where each question is labeled by what the question is about. For example, the question, "Who was Abraham Lincoln?" will be a question and…

In this article by Maxim Lapan,  the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch.

Gradients support in tensors is one of the major changes in PyTorch 0.4.0. In previous versions, graph tracking and gradients accumulation were done in a separate, very thin class Variable, which worked as a wrapper around the tensor and automatically performed saving of the history of computations in order to be able to…

What You Need to Know about Machine Learning

By Gabriel A. Canepa

This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills…

The performance of the neural network improves with an increasing volume of training data. With more and more devices generating data that can potentially be used for training and model generation, the models are getting better at generalizing the stochastic environment and handling complex tasks. However, with more data and more complex structures for the deep neural networks, the computational requirements increase.

Even though we have started leveraging GPUs for deep neural network…