Back to Deep Learning with PyTorch: Build a Neural Network
Learner Reviews & Feedback for Deep Learning with PyTorch: Build a Neural Network by Coursera Project Network
16 ratings
About the Course
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.
Top reviews
Feb 5, 2021
One of the best PyTorch tutorials I had seen so far. Each parameter and function are explained very well.
Dec 10, 2020
Superb Explanation with all guidance during the course.
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1 - 4 of 4 Reviews for Deep Learning with PyTorch: Build a Neural Network
By Vatsal K M
•Feb 6, 2021
One of the best PyTorch tutorials I had seen so far. Each parameter and function are explained very well.
By Kartik D
•Dec 11, 2020
Superb Explanation with all guidance during the course.
By Charles R
•Feb 5, 2021
Nice. Thank you
By Florian H
•Jan 25, 2021
Basically just some tutorial code read out loud without any background information on classes/objects. You're probably better off doing through a PyTorch tutorial yourself.
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