Talks

Links and resources from our live presentations and talks

Experiment Tracking

Try our free tools for experiment tracking with this 5 minute example →

Deep Learning in the Real World

Here are the slides. If you want to join our Machine Learning community, join our forum.

If you're curious to learn more about some of the things I referenced in my talk, check out these resources:

  1. IBM over promises and under delivers with Watson for cancer detection —https://www.statnews.com/2017/09/05/watson-ibm-cancer/

  2. A diagram of companies in the machine learning space — http://www.shivonzilis.com/machineintelligence

  3. The Stanford Dogs Dataset — http://vision.stanford.edu/aditya86/ImageNetDogs/

  4. Art to confuse facial recognition — https://cvdazzle.com/

  5. Explainability in image classifiers — https://arxiv.org/pdf/1602.04938.pdf

  6. Explainable time series predictions — https://www.ijcai.org/proceedings/2019/0932.pdf

Natural Language Examples

  1. OpenAI GPT-2: a model for generating realistic text

  2. TalkToTransformer.com: try GPT 2

  3. GLUE Benchmark: resources for training and analyzing natural language systems

  4. SuperGLUE: updated and improved v2 of the GLUE benchmark

  5. Livox: uses NLP in an alternative communication app

  6. Practical Twitter Content Mining: medical journal article about using NLP on tweets

  7. Applications of NLP: Medium article talking about 10 interesting applications