In this course, you will learn how to create, train, and test artificial neural networks in PyTorch, one of the most popular deep learning frameworks in Python.

An open-source deep learning framework that provides a flexible ecosystem for deep learning and artificial intelligence research and production.

PyTorch's nn.Sequential() method builds neural networks by specifying layers and activation functions in sequence from input to output. For example, the code ...

29 сент. 2022 г. · PyTorch is a free open-source framework that offers an optimized tensor library for deep learning. It offers a number of modules based on ...

In this course, you will learn how to build neural network classification models using PyTorch. You'll learn how to prepare data for classification, how to ...

In machine learning, classification tasks aim to predict categorical values. These are often called labels or classes. For example, an ML model that tries ...

5 дней назад · Intro to PyTorch and Neural Networks. Learn how to use PyTorch to build, train, and test artificial neural networks in this course.

In this course, you will learn how to build and train neural networks to generate human-like text in PyTorch, one of the most popular deep learning frameworks ...

4 дня назад · An overview of PyTorch Datasets and DataLoaders, including how to create custom datasets and use DataLoader for efficient data loading and ...

8 нояб. 2024 г. · Intro to PyTorch and Neural Networks. Learn how to use PyTorch to build, train, and test artificial neural networks in this course.