DEEP LEARNING CORE

  • Designed to gradually learn core Deep Learning technology
  • Course content:
    • Machine learning
    • Neural network, 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 Core 2015, 2016 (Voluntary Lectures)
    • Advanced Artificial Intelligence I 2016 (The University of Tokyo)