7:00 – 3:00 ASRC
- Fixing slides
- Add breadcrumbs in the lower border throughout
- Move LMN slide to bridge lit review and current work
- Overview Lit review slide that sets section titles with codes
- Add timeline that starts back at the initial politifact paper
- Moving content for Vinny
- Starting on the lazy loading for the research browser
- Need to move the settings out of the search page to the setting page and get them
- TensorFlow seminar
- @martin_wicke
- TF is tooling to manage complexity
- TF can run any algorithm addition -> Bayes -> deep neural nets -> etc
- Multiple chained Neural Networks (NN)
- Data center scale systems
- Flow graph is written in Python and then compiled
- State is maintained in nodes
- First build the graph, then run it.
- TensorBoard (visualization)
- relu
- TensorFlow uses CUDA8, so NVidia
- TensorFlow runs on Linux (Ubuntu), MacOS, Windows coming soon (a week or 2) that will support GPUs
- Tensorflow installed with pip?
- Placeholders are like variables that require data from the user or TF doesn’t work.
- Pre trained models exist. There is a tutorial that gives quick results that is used a pre-trained model
- Performance tracing is available by use of flags. Run times and communication times
