Introduction to Deep Learning with PyTorch
Course Report
Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Highlights
Rating & Reviews
Top 30 Percentile
Career Impact
Top 5 Percentile
Parameters
Career Impact
This course is exceptional, ranking among the top 5 percentile in Deep Learning for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Deep Learning field.
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Rating & Reviews
This highly acclaimed course is among the top-rated in Deep Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Deep Learning.
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Course Overview
Virtual Labs
Job Assistance
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Learn Datacamp course Supervised Learning with scikit-learn
Learn DataCamp course Object-Oriented Programming in Python
What You Will Learn
Learn to create deep learning models with the PyTorch library
In this course you will use PyTorch to first learn about the basic concepts of neural networks, before building your first neural network to predict digits from MNIST dataset
You will then learn about convolutional neural networks, and use them to build much more powerful models which give more accurate results
You will evaluate the results and use different techniques to improve them
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
100%