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Holly Grimm
has successfully completed an online offering of
Creative Applications of Deep Learning with TensorFlow II
Taught by
Parag Mital
Course Run Dates: September 6, 2017 — May 13, 2021
Issued: October 31, 2017
Learning Outcomes
Cloud/GPU Computing and TensorBoard
- Ability to use Google Cloud, Amazon Web Services, or Nimbix Cloud to spin GPU clusters
- Ability to build a web service using a pre-trained TensorFlow model
- Ability to monitor training with TensorBoard
- Ability to optimize hyper-parameters and visualize the results with TensorBoard
Deep Visual Attention and Mixture Density Modeling
- Ability to build visual attention into a deep recurrent autoencoder
- Ability to look and draw at different points on a visual canvas
- Ability to use Mixture Density Networks to model arbitrary densities
- Ability to model multimodal distributions
Deep Unpaired Image-to-Image Translation
- Ability to translate one image collection to another without using ordered pairs
- Ability to build multiple losses in Generative Adversarial Networks and optimize them
- Ability to monitor large visual collections with TensorBoard