Coursera
Paid Course
English
Paid Certificate Available
selfpaced
Overview
Class Central Tips
In this one-hour project-based course, you will get to know the basic components of pytorch through hands-on tasks. You will learn how to define, train, and evaluate a neural network with pytorch. By the end of this project, you will build a neural network which can classify handwritten digits. You will be able to create a neural network using pytorch and complete classification tasks in deep learning with pytorch.
This guided project is for learners who want to use pytorch for building deep learning models. Learners who have a basic understanding of deep neural networks and want to apply neural network using deep learning framework like pytorch. This project provides learners with deeper knowledge about the basics of pytorch and its main components.
In order to be successful in this project, you should be familiar with python and neural networks.
This guided project is for learners who want to use pytorch for building deep learning models. Learners who have a basic understanding of deep neural networks and want to apply neural network using deep learning framework like pytorch. This project provides learners with deeper knowledge about the basics of pytorch and its main components.
In order to be successful in this project, you should be familiar with python and neural networks.
Taught by
Parth Dhameliya
