Deep Learning - Part I

Deep Learning - Part I

This badge confirms completion of the seven week course Deep Learning - Part I with instructor Jeremy Howard at the Data Institute at the University of San Francisco.

The learning outcomes of this certificate include:

  • The basic algorithms and architecture underlying Deep Learning
  • Understanding Convolutions and Stochastic Gradient Descent (SGD)
  • Implementation and mastery of the components of a Convolution Neural Network (CNN)
  • Applying Deep Learning to problems in computer vision, including VGG
  • Understanding the structure of a Recurrent Neural Network (RNN) and using current technologies including creating layers by hand in keras; sequence and stateful RNNs; simple RNN in Theano
  • Exposure to best practices and tools for RNN and CNN including pseudo-labeling and combining validation/training sets, resnet multi input and multi output nets, localization and gated recurrent units