Build a Deep Learning Based Image Classifier with R
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Duration
1 hour
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
1 hour
Course Description
Highlights
Hands on training
Top 20 Percentile
Rating & Reviews
Top 30 Percentile
Parameters
Hands on training
This course stands out as one of the top 20 percentile options in Deep Learning, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.
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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 4.6. 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
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Solve a basic image classification problem with neural networks
build, train, and evaluate a neural network model with keras using r
Course Instructors
Course Reviews
Average Rating Based on 4 reviews
100%
Course FAQs
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