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Learner Reviews & Feedback for The Pytorch basics you need to start your ML projects by Coursera Project Network

3.6
stars
41 ratings

About the Course

In this 1-hour long project-based course, you will learn how to use simple commands to create and manipulate files and folders, perform multiple complex tasks using one simple command, use the superuser to perform high privilege operations....
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1 - 8 of 8 Reviews for The Pytorch basics you need to start your ML projects

By Kyle S

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Nov 21, 2021

Absolute garbage. A tutorial from the pytorch site would be far better. Definitions of concepts are few, and incomplete, to outright incorrect. Very little explanation. If you don't know anything about ML or pytorch, this will confuse, not help. If you know about ML but not pytorch, this doesn't cover enough to get you on your way.

By Yaroslav R

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Aug 25, 2021

Waste of time.

By Nicolas C

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Aug 12, 2022

Very short and basic introduction to Torch main commands. I heard a number of ML innacuracies. Overall OK if only wanting to get familiar with the most basic PyTorch commands with videos and following along.

By kellyleecemcguire@gmail.com

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Nov 11, 2021

Clear instruction, but light on content.

By Yuri C

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Jul 16, 2022

I could not say that I did not learn anything. However, this was way below expectations.

By JAPNEET S D

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Jan 12, 2022

I had some issues in the beginning. But they were very simple to figure out.

By Xavier D

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Jan 3, 2024

This guided project does : - teach how to install a PyTorch environment, - provide a simple set of instructions using it, - and begin to apply it, blindly, on a dwarf random data set. This guided project does *not*: - provides any understanding of higher-level concepts, - involve any tool for a clever handling of neural networks. Here or there, the choice of words or parameter values is technically ambiguous.

By David W

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Mar 12, 2024

It isn't easy to follow along. The instructor knows his stuff but has difficulty connecting the dots in a helpful way for someone like me looking to get a solid overview before digging in deeper. After taking a long time walking through how to install libraries, he dove right into the details without explaining the theory behind why he was doing what he was doing.