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Ltd. Everyone is a product manager Home Page Training Course Classification Browsing Activities Lectures Q&A Corporate Training Fishing News Search Registration Login Generating Adversarial Network N "The King of Volumes Fighting Each Other I Little Boss Follow - Comment Rich People Phone Number List Browse Collection Minute-end Product Manager What are the two major problems? Analyze and design products from multiple perspectives such as market users and business, how to effectively manage and promote project implementation. The above introduces the basic concept of recurrent neural network RNN. Today we will introduce





the generative adversarial network N. Generative adversarial network N is an interesting deep learning algorithm that is widely used in scenarios such as face changing and style transfer. 1. Basic Principle The basic principle of the generative adversarial network N is to learn through the mutual confrontation of two neural networks, namely the generator enerr and the discriminator iriinr. The generator tries to generate data that is as realistic as possible to fool the discriminator while the discriminator tries to distinguish real data from generated data as accurately as possible. The generator workflow receives a random noise and generates data from this noise. This process can be viewed as randomly sampling from a latent space and then mapping it to the data space. The goal of