This chapter will cover the building blocks required to build your first Deep Convolutional Generative Adversarial Network (DCGAN) implementation, including the following recipes:

• What is a DCGAN? A simple pseudocode example
• Tools—do I need any unique tools?
• Parsing the data—is our data unique?
• Code implementation—generator
• Code implementation—discriminator
  
• Training
• Evaluation—how do we know it worked?
• Adjusting parameters for better performance