Artificial Intelligence

Course Content

Total learning: 10 lessons

Part – 9

 Generative Deep Learning, Generative Adversarial Networks (GANs), Autoencoders

  • ext generation using LSTM and generative recurrent networks
  • Understanding about DeepDream algorithm
  • Image generation using variational autoencoders
  • GANs theory and practical models
  • The Generator, the Discriminator, the Adversarial network
  • Deep Convolution Generative Adversarial networks
  • Producing audio using GAN
  • Unsupervised learning using Autoencoders
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