Deep Learning - Part 1 Fall 2018

Deep Learning - Part 1 Fall 2018

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

The learning outcomes for the Deep Learning - Part 1 certificate are:

  • 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, NLP, tabular data, and collaborative filtering, including state of the art networks such as resnet and unet

  • Understanding the structure of a Recurrent Neural Network (RNN)

  • Creating models in PyTorch and fastai.