Deep Learning Workshop

What attendees will learn

  • key concepts in DL (activation functions/backprop)
  • Python libraries/APIs for NNs (e.g., numpy)
  • Keras and Tensorflow frameworks (intro)
  • various APIs for defining neural networks
  • visualizing NNs (using TensorBoard)
  • how to create CNNs (Keras and TensorFlow)
  • how to create LSTMs (Keras only)
  • Tensorflow in mobile apps (Android)

What attendees need

  • familiarity with Python
  • familiarity with matrices+vectors
  • an understanding of derivatives
  • a strong desire to learn

This workshop is not a substitute for a Kaggle event: although attendees will learn a general “technique” to improve the accuracy of a neural network, we will not devote any time to maximize the accuracy of NNs for specific problem domains.

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Address

  • 388 MARKET STREET,
  • SUITE 1300
  • SAN FRANCISCO, CA 94111