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Deep Convolutional Generative Adversarial Networks (DCGAN)

Learn to create Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)
3.5
☆☆☆☆☆ 3.5/5
(22 reviews)
102 students
Created by
Academy of Computing & Artificial Intelligence

8.2

Classbaze Grade®

7.6

Freshness

7.3

Popularity

9.0

Material

Detailed Analysis »

Learn to create Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)
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Platform: Udemy
Price: check current price
Video: 2h 24m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.6 / 10
This course was last updated on 5/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.3 / 10
We analyzed factors such as the rating (3.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.0 / 10
Video Score: 7.9 / 10
The course includes 2h 24m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 24 minutes of 10 Generative Adversarial Networks (GAN) courses on Udemy.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
1 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
Classbaze hand picked recommendations

About the course

Generative Adversarial Networks (GANs) &  Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today.
Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real images apart from fakes.

At the end of the Course you will understand the basics of Python Programming and the basics ofGenerative Adversarial Networks (GANs) &  Deep Convolutional Generative Adversarial Networks (DCGAN) .
The course will have step by step guidance
Import TensorFlow and other libraries
Load and prepare the dataset
Create the models (Generator & Discriminator)
Define the loss and optimizers (Generator loss , Discriminator loss)
Define the training loop
Train the model
Analyze the output

Suggested Prerequisites:
•Python coding: some revision is provided during this course
•Gradient descent
•Basic knowledge of neural networks

What can you learn from this course?

✓ Learn the basic principles of Generative Adversarial Networks (GAN)
✓ Learn the basic principles of Deep Convolutional Generative Adversarial Networks (DCGAN)
✓ Build a Deep Convolutional Generative Adversarial Networks (DCGAN) with step by step guidance
✓ Setup the code for Deep Convolutional Generative Adversarial Networks (DCGAN)

What you need to start the course?

• Basic neural networks knowledge would be helpful, however all the basic concepts will be covered in this course

Who is this course is made for?

• Anyone who wish to improve the deep learning knowledge
• students who wish to learn the new trends Deep Convolutional Generative Adversarial Networks (DCGAN)

Are there coupons or discounts for Deep Convolutional Generative Adversarial Networks (DCGAN) ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $16.5 of 10 Generative Adversarial Networks (GAN) courses. So this course is 9% cheaper than the average Generative Adversarial Networks (GAN) course on Udemy.

Will I be refunded if I'm not satisfied with the Deep Convolutional Generative Adversarial Networks (DCGAN) course?

YES, Deep Convolutional Generative Adversarial Networks (DCGAN) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Deep Convolutional Generative Adversarial Networks (DCGAN) course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Academy of Computing & Artificial Intelligence?

Academy of Computing & Artificial Intelligence has created 20 courses that got 2,225 reviews which are generally positive. Academy of Computing & Artificial Intelligence has taught 168,012 students and received a 4.1 average review out of 2,225 reviews. Depending on the information available, we think that Academy of Computing & Artificial Intelligence is an instructor that you can trust.

Learn everything about

Academy of Computing & Artificial Intelligence

Senior Lecturer / Project Supervisor / Consultant
Academy of Computing & Artificial Intelligence proudly presents you these valuable courses. [ACAI]
It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020.
To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]
“While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn.

The Founder has over 10 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.
MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering – First Class Honours (University of Westminster),SCJP, SCWC
He has completed  a MSc in Artificial Intelligence. 
Completed BSc Software Engineering – First Class Honors from University of Westminster (UK). 
Sun Certified Java Programmer  (SCJP). – 93% and a Sun Certified Web Component Developer 97%. .Research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering.

Course Team includes : PhD Holders , PhD Candidates, Senior Lecturers , Consultants , Researchers, Industry Experts & hiring managers

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Academy of Computing & Artificial Intelligence's full profile and courses »
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8.2

Classbaze Grade®

7.6

Freshness

7.3

Popularity

9.0

Material

Detailed Analysis »

Learn to create Generative Adversarial Networks (GAN) & Deep Convolutional Generative Adversarial Networks (DCGAN)
Go to course »
Platform: Udemy
Price: check current price
Video: 2h 24m
Language: English
Next start: On Demand

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