Practical Guide to Deep Learning with PyTorch

Online Course

Udemy
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Practical Guide to Deep Learning with PyTorch
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Practical Guide to Deep Learning with PyTorch
The course Practical Guide to Deep Learning with PyTorch is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Journey with PyTorch: Build useful and effective models with the PyTorch Deep Learning framework from scratch!

Course description
  • Practical Guide to Deep Learning with PyTorch
  • Work with Deep Learning models and architectures including layers, activations, loss functions, gradients, chain rule, forward and backward passes, and optimizers.
  • Apply Deep Learning architectures to solve Machine Learning problems for Structured Datasets, Computer Vision, and Natural Language Processing.
  • Implement state of the art in Natural Language Processing to solve real-world problems such as sentiment analysis.
  • Master PyTorch’s unique features gradually as you work through projects that make PyTorch perfect for rapid prototyping.
  • Debug your PyTorch code using standard Python tools, so you can easily fix bugs.
  • A basic understanding of Python programming knowledge (and a basic understanding of ML concepts) is assumed.
  • 7.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing
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Prerequisites & Facts

Practical Guide to Deep Learning with PyTorch

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Practical Guide to Deep Learning with PyTorch

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Practical Guide to Deep Learning with PyTorch
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Reviews

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School: Udemy
Topic: Databases, Development, PyTorch

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