Deep Learning at the Edge with TensorFlow.js

3. Programming vs Machine Learning Traditional  Programming Rules Data Answers Machine Learning Answers Data Rules/Model ModelData Predictions Training Inferencing https://youtu.be/WwON0inOEnc?t=299

4. Artificial Neural Networks 4 INPUT OUTPUTHIDDEN LAYERS f(∑wixi+b) y x1 xi w1 wi ● ● ● https://towardsdatascience.com/applied-deep-learning-part-1-artificial-neural-networks-d7834f67a4f6

5. TensorFlow Spark Keras ONNX PyTorch scikit-learn Theano Caffe2 Jupyter Pandas NumPy etc…………………

6. TensorFlow.js is an open source library to train and deploy machine learning models with JavaScript

7. 7https://medium.com/codait/tensorflow-max-javascript-edition-8f45f0a945a0

8. Data security Offline and low bandwidth scenarios Interactive UI, Camera, Microphone 12+ million JavaScript and Node.js developers Why JavaScript?

9. tfjs-layer tfjs-core tfjs-data tfjs-converter tfjs tfjs-vis tfjs-node WebGL tensorflow.so GPU TFjs overview

10. Tensors & Ops & Layers, oh my! Tensors / Operations / Layers / Models

11. http://www.memecenter.com/fun/140683/How-To-Draw-A-Horse

12. training not your thing... Running pre- trained models

13. tensorflowjs_converter converts pre-trained TensorFlow and Keras models to a web- friendly format

14. tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model /path/to/model_to_convert /path/to/save_output https://github.com/tensorflow/tfjs/tree/master/tfjs-converter

15. https://xkcd.com/1838/

16. Converter supports only TensorFlow and Keras models • SavedModel • Frozen Graph (with tensorflowjs_converter < 1.0) • HDF5 • TensorFlow Hub module

17. Size • suitable for browser/edge Performance • user experience Output(s) • post-processing Input(s) • pre-processing Model requirements

18. Limited number of supported operations TensorFlow 800+ TensorFlow.js ~200 https://github.com/tensorflow/tfjs/blob/master/tfjs-converter/docs/supported_ops.md

19. https://me.me/i/cantbeoverthrown-by-ai-overlords-u-thur-if-webecometheaioverlords-imgtip-com-elon-12102303

20. https://github.com/codait/magicat 🧙😺

21. https://ibm.biz/veremin

22. https://github.com/code-and-response/droneaid

23. Thank you va barbosa IBM CODAIT — twitter.com/@vabarbosa github.com/vabarbosa medium.com/@vabarbosa dev.to/vabarbosa

24. Links https://js.tensorflow.org https://medium.com/codait/bring-machine-learning-to-the-browser-with-tensorflow-js-part-i-16924457291c https://medium.com/codait/tensorflow-max-javascript-edition-8f45f0a945a0 https://github.com/tensorflow/tfjs https://codepen.io/collection/XqEbmw https://codepen.io/ibmcodait/pen/xvEodY https://www.npmjs.com/package/@codait/max-image-segmenter https://www.npmjs.com/package/@codait/max-human-pose-estimator https://github.com/codait/magicat https://developer.ibm.com/patterns/making-music-with-the-max-human-pose-estimator-and-tensorflowjs/ https://developer.ibm.com/code-and-response/blogs/droneaid-is-now-open-source/ https://medium.com/codait/veremin-a-browser-based-video-theremin-1548b63200c https://github.com/tensorflow/tfjs-examples