PyTorch Overview

PyTorch is the #6 ranked solution in our list of top AI Development Platforms. It is most often compared to OpenVINO: PyTorch vs OpenVINO

What is PyTorch?

We've built this course as an introduction to deep learning. Deep learning is a field of machine learning utilizing massive neural networks, massive datasets, and accelerated computing on GPUs. Many of the advancements we've seen in AI recently are due to the power of deep learning. This revolution is impacting a wide range of industries already with applications such as personal voice assistants, medical imaging, automated vehicles, video game AI, and more.

In this course, we'll be covering the concepts behind deep learning and how to build deep learning models using PyTorch. We've included a lot of hands-on exercises so by the end of the course, you'll be defining and training your own state-of-the-art deep learning models.

Buyer's Guide

Download the AI Development Platforms Buyer's Guide including reviews and more. Updated: April 2021

Pricing Advice

What users are saying about PyTorch pricing:
  • "PyTorch is an open-source solution."
  • "It is free."

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JG
reviewer1508772
Associate Data Analyst at a financial services firm with 10,001+ employees
Real User
Apr 16, 2021
A highly user-friendly open-source machine learning library

What is our primary use case?

I work within the field of NLP and data logistics, but most of the information is stored in the description. I mostly use NLP algorithms to extract the sentiment or the similarity if they have a similarity score calculation. For example, something like the windshield cracking, or something extremely severe like a garage burning, or multiple car damage. The NLP tasks don't deal with the financial data directly but use extra information to get some insights. It's not really a good practice in India to use deep learning models directly on financial data because of audit reasons.

Pros and Cons

  • "I like that PyTorch actually follows the pythonic way, and I feel that it's quite easy. It's easy to find compared to others who require us to type a long paragraph of code."
  • "I would like a model to be available. I think Google recently released a new version of EfficientNet. It's a really good classifier, and a PyTorch implementation would be nice."

What other advice do I have?

I would recommend this solution because PyTorch is like a godsend. On a scale from one to ten, I would give PyTorch a ten.
KK
reviewer1455297
Freelance AI Engineer at a tech services company with self employed
Real User
Top 10
Nov 19, 2020
Good interface, free of cost, and quite stable

What is our primary use case?

It is mostly used for everything that is connected to machine learning, data science, training, and other similar things.

Pros and Cons

  • "Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful."
  • "There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."

What other advice do I have?

I would definitely recommend this solution. I would rate PyTorch an eight out of ten.
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