Deep Convolutional Generative Adversarial Networks (DCGAN)
What you'll learn
- 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)
Requirements
- Basic neural networks knowledge would be helpful, however all the basic concepts will be covered in this course
Description
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
Who this course is for:
- Anyone who wish to improve the deep learning knowledge
- students who wish to learn the new trends Deep Convolutional Generative Adversarial Networks (DCGAN)
Instructor
- 4.1 Instructor Rating
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- 228,183 Students
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Academy of Computing & Artificial Intelligence -UK 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 2022.
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 12 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.
PhD Candidate in Australia,
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