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Deep Learning Basics (Japanese)



This course is designed to gradually learn core deep learning technology.

Course Format: On-site

Language: Japanese

Eligibility: Private



This course is designed to gradually learn core deep learning technology.

Course content:

  • Machine learning
  • Neural networks, MLP and optimizers
  • Autoencoders
  • Convolutional neural networks (CNNs)
  • Generative models (VAE and GAN)
  • NLP, recurrent neural networks and LSTMs

Textbook: “deep learning” (machine learning professional series)

Number of lectures: 12

Onsite courses:

  • Deep Learning Basics (Open Class)
  • Frontier Artificial Intelligence (The University of Tokyo)

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