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ยฃ25
ยฃ25
On-Demand course
1 hour 4 minutes
All levels
Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Deep Learning Projects - Convolutional Neural Network training course. This Deep Learning Projects - Convolutional Neural Network course for Consistent Profits has been specially designed to help learners gain a good command of Deep Learning Projects - Convolutional Neural Network, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.
Through this Deep Learning Projects - Convolutional Neural Network course, you will gain a theoretical understanding of Deep Learning Projects - Convolutional Neural Network and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.
Not only that, but this Deep Learning Projects - Convolutional Neural Network training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry.ย
This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Section 01: Introduction | |||
โถ | Introduction of Project1 | ๐ 00:04:00 | |
โถ | Overview of CNN | ๐ 00:05:00 | |
Section 02: Installations | |||
โถ | Installations and Dataset Structure | ๐ 00:11:00 | |
Section 03: Getting Started | |||
โถ | Import libraries | ๐ 00:07:00 | |
โถ | CNN Model and Layers Coding | ๐ 00:10:00 | |
โถ | Data Preprocessing and Augmentation | ๐ 00:07:00 | |
Section 04: Accuracy | |||
โถ | Understanding Data generator | ๐ 00:08:00 | |
โถ | Prediction on Single Image | ๐ 00:06:00 | |
โถ | Understanding Different Models and Accuracy | ๐ 00:06:00 |
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