Creating anime characters using DCGANs and Keras

The production of millions of original anime characters is almost impossible for even the most skilled artist however, it can be done by using machine learning methods! In this guided project you will get the opportunity to create models using machine learning and create anime characters yourself. Then, you'll be able to use the machine learning technique known as Deep Convolutional Generative Adversarial Networks (DCGANs) that is employed for mass anime production. You're hired by a company that makes video games as an data scientist. The company is faced with problems and requires you to help them save the company's business.The game is renowned for its unique characters that are available to each player. As the game grows in number of players, it becomes to be a near impossible task for the artist to create the characters for the millions of players. However, your boss is planning to maintain the distinctive character-creating aspect of the game in order to retain customers.using using the DCGANs algorithm in this project that guides. If you are a Data Scientist, you are aware that GANs, or Generative Adversal Networks (GAN) could aid in the task.GANs are a type of frameworks for machine learning, that can generate a new photos that are realistic and real to humans. Additionally, applying Convolutional networks (CNNs) to GANs models can help with the model that generates photos. The method that is combined is known as Deep Convolutional Generative Adversarial Networks (DCGANs). The goal is to build the DCGANs model using an existing character, to enable the next massive, original anime character creation to be used in the game. In the guided project you'll first be taught the basics of data mining using toy data to comprehend what it is. In the second part of the guided project you are training models to make animation characters.After you complete the project you'll be able to: This course is suitable for intermediate students of Machine Learning and Data Science. Understanding the basics of Python use for data science recommended prior to starting this guided project. We suggest making use of this IBM Skills Network Labs environment to complete this project. Everything you require to complete the project will be available to you through this site, the Skills Network Labs. This platform is compatible with the latest version that include Chrome, Edge, Firefox, Internet Explorer or Safari.