Vermont Code Camp 2019 - Intro to Deep Learning for Developers

Vermont Code Camp 2019 - Intro to Deep Learning for Developers

For Vermont locals:
Join the BTV Dev Slack Community! http://btvdev-slackin.herokuapp.com/
Vermont Women in Machine Learning and Data Science Meetup - https://www.meetup.com/VT-WiMLDS/
Burlington Data Scientists Meetup - https://www.meetup.com/Burlington-Data-Scientists/

Talk Resources:
*Machine Learning Frameworks*
TensorFlow - https://www.tensorflow.org/
Train your first neural network: basic classification | TensorFlow -https://www.tensorflow.org/tutorials/keras/basic_classification
Keras - https://keras.io/
PyTorch - https://pytorch.org/
Caffe2 - https://caffe2.ai/

*Resources on IBM Developer*
IBM Developer - https://developer.ibm.com/
IBM Cloud - https://ibm.biz/BdzXfW
Center for Open-Source Data & AI Technologies (CODAIT) - http://codait.org/
IBM Developer Model Asset Exchange (MAX) - https://developer.ibm.com/exchanges/models/
Model Asset Exchange (MAX) Code Patterns - https://developer.ibm.com/patterns/category/model-asset-exchange/
🧙😺 magicat - https://github.com/CODAIT/magicat
Veremin - https://veremin.mybluemix.net/

*Preparing, Building, and Training AI Models*
Project Jupyter - https://jupyter.org/
IBM Developer Model Asset Exchange (MAX) - https://developer.ibm.com/exchanges/models/
IBM Watson Knowledge Catalog - https://www.ibm.com/cloud/watson-knowledge-catalog
IBM Watson Studio - https://www.ibm.com/cloud/watson-studio

*Deploying and Running AI Models*
Data Mining Group (PMML & PFA) - http://dmg.org/
ONNX - https://onnx.ai/
ONNX.js - https://github.com/Microsoft/onnxjs
TensorFlow.js - https://js.tensorflow.org/
TensorFlow Lite - https://www.tensorflow.org/lite
Core ML - https://developer.apple.com/machine-learning/
IBM Watson Machine Learning - https://www.ibm.com/cloud/machine-learning

*Operating, Managing, and Making AI Systems Explainable, Fair, and Robust*
Fabric for Deep Learning (FfDL) - https://github.com/IBM/FfDL
AI Fairness 360 Toolkit - https://github.com/IBM/AIF360
Adversarial Robustness 360 Toolbox - https://github.com/IBM/adversarial-robustness-toolbox
AI Explainability 360 Toolkit - https://github.com/IBM/AIX360/
IBM Watson OpenScale - https://www.ibm.com/cloud/watson-openscale

*Let's Play with Deep Learning!*
Veremin, the Deep Learning Theremin - http://ibm.biz/veremin
magicat, the Command Line image analyzer tool - https://www.npmjs.com/package/magicat
Model Asset eXchange (MAX), ready to use deep learning models - http://ibm.biz/max-models
AI Fairness 360, mitigate unwanted bias from your models - http://aif360.mybluemix.net/data

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Maureen McElaney

September 28, 2019
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