Introduction to Deep Learning Using PyTorch

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Course Features

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Duration

1.27 hour

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

1.27 hour

Course Description

This video will introduce PyTorch, a Python-based deep learning framework. This video will show you how to create simple neural networks that are the backbone for artificial intelligence. We will begin with the basics of deep learning (including back-propagation, feed forward networks, loss functions, and so on). Then, we will dive into PyTorch Tensors to create our networks. Finally, we will CUDA render the code to make it GPU-compatible for faster model training.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

CUDA rendering, which will allow you to train your networks very quickly

Deep learning basics and you can apply it to your domain (X + AI)

PyTorch platform basics and you can apply it to any deep learning problem

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