Artem Ex Machina™- become AI Arts Artisan from the ground up

Artem Ex Machina&: become AI Arts Artisan from the ground up, available at $54.99, has an average rating of 4.5, with 41 lectures, 5 quizzes, based on 5 reviews, and has 41 subscribers.

You will learn about Generate beautiful AI art with pre-trained models Build your own Generative Adversarial Networks (GANs) from scratch Train GAN on a selected set of images Create pieces of AI art with your own models Become AI art artisan (generative artist) Understand how Neural Networks and Generative Adversarial Networks (GAN) work Work in your own AI workshop locally (CPU training) or remotely (GPU training) Start and manage AI painting project This course is ideal for individuals who are Data scientists and analyst that want to be able to build and apply Generative Adversarial Network models or Data scientists and analyst that want to learn or enhance their Deep Learning skills or STEM professionals wanting to expand into emerging word of AI arts or Anyone who wants to learn how to start AI Arts workshop or Anyone interested in AI arts and that wants to understand it It is particularly useful for Data scientists and analyst that want to be able to build and apply Generative Adversarial Network models or Data scientists and analyst that want to learn or enhance their Deep Learning skills or STEM professionals wanting to expand into emerging word of AI arts or Anyone who wants to learn how to start AI Arts workshop or Anyone interested in AI arts and that wants to understand it.

Enroll now: Artem Ex Machina&: become AI Arts Artisan from the ground up

Summary

Title: Artem Ex Machina&: become AI Arts Artisan from the ground up

Price: $54.99

Average Rating: 4.5

Number of Lectures: 41

Number of Quizzes: 5

Number of Published Lectures: 41

Number of Published Quizzes: 5

Number of Curriculum Items: 46

Number of Published Curriculum Objects: 46

Original Price: 拢29.99

Quality Status: approved

Status: Live

What You Will Learn

Generate beautiful AI art with pre-trained models

Build your own Generative Adversarial Networks (GANs) from scratch

Train GAN on a selected set of images

Create pieces of AI art with your own models

Become AI art artisan (generative artist)

Understand how Neural Networks and Generative Adversarial Networks (GAN) work

Work in your own AI workshop locally (CPU training) or remotely (GPU training)

Start and manage AI painting project

Who Should Attend

Data scientists and analyst that want to be able to build and apply Generative Adversarial Network models

Data scientists and analyst that want to learn or enhance their Deep Learning skills

STEM professionals wanting to expand into emerging word of AI arts

Anyone who wants to learn how to start AI Arts workshop

Anyone interested in AI arts and that wants to understand it

Target Audiences

Data scientists and analyst that want to be able to build and apply Generative Adversarial Network models

Data scientists and analyst that want to learn or enhance their Deep Learning skills

STEM professionals wanting to expand into emerging word of AI arts

Anyone who wants to learn how to start AI Arts workshop

Anyone interested in AI arts and that wants to understand it

Did you know that computers can generate pictorial art? Have you ever wondered how can they do that? Did you know that the art generated by Artificial Intelligence (AI) has been sold on auctions for thousands of $$$?

Welcome to Artem Ex Machina&! Here you will learn how to become Artificial Intelligence (AI) Artisan by building, trainingand applyingGenerative Artificial Networks (GANs) – deep learning networks behind AI generated art. What makes this course unique is the combination of three elements:

1. Building, training and using GANs from scratch

2. Applying pre-trained GANs for beautiful AI Arts

3. Starting, maintaining and managing AI Arts projects

By the end of this course you will, therefore, be able to:

Build and train GANs using your own set of training images

Create pieces of AI Arts with publicly available, FREE, and amazing quality pre-trained GANs models

Understand how Neural Networks, in general, and GANs, in particular, work

Effectively manage AI Arts projects

To get a taster on the kind of images you’ll be able to generate by completing this course, have a look at the logo of this course, which has 6 examples of images generated with GANs 馃檪

The course uses Python as a programming language upon which you’ll be able to build, train and use your own GANs. Not only you鈥檒l gain practical capabilities when it comes to developing and diagnosing these deep learning models but also you’ll gain a proper understanding of theory behind them. Since managing and, potentially, sharing your working environment behind GANs is an important part of the workflow of the generative artist, an integral part of the course is provisionof AI-Art-compatible Docker containers and teaching you how to effectively use them. Understanding how GANs work combined with the ability to build them, will give you a strong generative artisanship acumen, and hence strong competitive advantage in the world of Data Science. In addition to that you’ll learn how to make an effective use of pre-trained models that were trained for thousands of hours, to create high quality art. Therefore, you’ll be able to work on your own local computer as well as remote high performance computing service such as Google Colab using Graphic Processing Units!

The course is split into 6 sections culminating with a  3 capstone projects that you can add to your portfolio:

1. Introduction. Here you’ll learn how to setup your local working environment PLUS how to train and diagnose a hand-written digits GAN

2. What is a Generative Adversarial Network?Here you’ll learn how GANs work and how they are trained PLUS how to train and apply GAN of images of clothing

3. AI Arts projects. Here you’ll learn how to work locally vs how to work remotely and principles of AI Arts project management PLUS how to efficiently download bulk of images for your GAN training

4. GAN architectures. Here you’ll learn how to build and train GAN models from scratch to produce complex grayscale and colour images

5. GAN+CLIP. Here you’ll learn how to use pre-trained models for beautiful AI Arts generation

6. Capstone projects. Here you’ll have the chance to complete three capstone projects to consolidate what you’ve learnt in the course.

Start you Artem Ex Machina& journey now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What will you get from the course?

Lecture 2: Intro

Lecture 3: Begin your first GAN training!

Lecture 4: Load a Docker container

Lecture 5: Compile a Docker container

Lecture 6: Connect to a Docker container

Lecture 7: Run a simple GAN training procedure

Lecture 8: Examine the evolution of GAN

Lecture 9: Switch the container on and off

Lecture 10: Change the memory and CPU of your container

Lecture 11: Train your first GAN challenge

Lecture 12: Train your first GAN solution

Chapter 2: What is a Generative Adversarial Network?

Lecture 1: Intro

Lecture 2: What is Deep Learning?

Lecture 3: Artificial Neural Networks and their anatomy

Lecture 4: Training an Artificial Neural Network

Lecture 5: What is a Generative Adversarial Network?

Lecture 6: Mnist clothing GAN challenge

Lecture 7: Mnist clothing GAN solution

Lecture 8: Create pieces of AI Arts with your own models

Chapter 3: AI Arts projects

Lecture 1: Intro

Lecture 2: Local CPU vs remote GPU

Lecture 3: Introduction to Google Colab

Lecture 4: Principles of AI arts project management

Lecture 5: Easily collect your custom training images

Chapter 4: GAN architectures

Lecture 1: Intro

Lecture 2: Unpacking basic GAN architecture

Lecture 3: From scratch handwritten digit GAN

Lecture 4: From scratch handwritten digit GAN: solution

Lecture 5: CNNs & complex GAN architecture

Lecture 6: Grayscale landscape GAN

Lecture 7: Grayscale landscape GAN: solution

Lecture 8: Colour paintings GAN

Lecture 9: Colour painting GAN: solution

Chapter 5: GAN+CLIP

Lecture 1: Intro

Lecture 2: Introduction to GAN+CLIP

Chapter 6: Capstone projects

Lecture 1: Intro

Lecture 2: Capstone 1

Lecture 3: Capstone 2

Lecture 4: Capstone 3

Lecture 5: Course summary

Instructors

Alexander Abdulkader Kheirallah, PhD
Data Scientist with background in bioinformatics

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2 stars: 1 votes

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5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!