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The combined method between applying the CNNs to GANs models is called Deep Convolutional Generative Adversarial Networks (DCGANs).

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nisrinaishmh/Creating-AI-for-generate-anime-characters-using-DCGANs-and-Keras

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IBMSkillsNetwork: IBM GPXX0XCEEN - Creating anime characters using Deep Convolutional Generative Adversarial Networks (DCGANs) and Keras🌈🪄

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GANs could generate new data following the statistic features of the data in the training set. GANs is widely used to generate new and realistic photograph that is authentic to human observers. Convolutional networks (CNNs) has seen huge adoption in computer vision applications. Applying the CNNs to GANs models could help us in building a photo generating model. The combined method is called Deep Convolutional Generative Adversarial Networks (DCGANs).

Author✍️

Cognitive Class AI - Joseph Santarcangelo (PhD.), Roxanne Li, and Junxing(J.C.) Chen💎

Mentee Assignment📝📂

Task for Mentee from IBM Academy Advance AI Mentor @ Infinite Learning Course🎓

Completed Course: Practice to Create anime characters using DCGANs and Keras with Google Colab from learning materials CognitiveClass.ai🔭🛸

Mentee Info✨

Name: Nisrina Ishmah Mahira🧕

Program: IBM Academy - Advance Al [Kampus Merdeka Batch 6 Tahun 2024]🏫🎉

Tech Stack💻

  • Python
  • Keras
  • Tensorflow
  • Pandas
  • Numpy
  • Sklearn
  • Seaborn
  • Matplotlib