Deep Convolutional Generative Adversarial Networks (DCGAN)

Deep Convolutional Generative Adversarial Networks (DCGAN), available at $39.99, has an average rating of 4.05, with 17 lectures, based on 26 reviews, and has 3058 subscribers.

You will learn about 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) This course is ideal for individuals who are Anyone who wish to improve the deep learning knowledge or students who wish to learn the new trends Deep Convolutional Generative Adversarial Networks (DCGAN) It is particularly useful for Anyone who wish to improve the deep learning knowledge or students who wish to learn the new trends Deep Convolutional Generative Adversarial Networks (DCGAN).

Enroll now: Deep Convolutional Generative Adversarial Networks (DCGAN)

Summary

Title: Deep Convolutional Generative Adversarial Networks (DCGAN)

Price: $39.99

Average Rating: 4.05

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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)

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: What are GANs ? Generative Adversarial Networks (GANs)

Lecture 2: Import TensorFlow and other libraries

Lecture 3: Load and prepare the dataset

Lecture 4: Create the models – The Generator

Lecture 5: Create the models – The Discriminator

Lecture 6: Define the loss and optimizers

Lecture 7: Define the training loop

Lecture 8: Train the model – Part

Lecture 9: Create a GIF

Lecture 10: GAN vs DCGAN difference

Lecture 11: Source code – for the course

Lecture 12: Download the Source code

Lecture 13: Output

Chapter 2: Extra Reading

Lecture 1: Generative Adversarial Networks

Lecture 2: Deep Convolutional Generative Adversarial Network – Research paper

Chapter 3: Revision – Neural Networks

Lecture 1: Setting up the Environment : Anaconda

Lecture 2: KERAS Tutorial : Developing an Artificial Neural Network in Python [Step by Step

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant

Rating Distribution

1 stars: 3 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 4 votes
5 stars: 15 votes

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