A Gentle Introduction to Deep Learning for Developers at Abstractions

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A Gentle Introduction to Deep Learning for Developers — Bradley Holt Program Manager, Developer Advocacy Center for Open-Source Data & AI Technologies ↳ (CODAIT) @BradleyHolt | @ibmcodait | @IBMDeveloper medium.com/codait github.com/codait | github.com/IBM developer.ibm.com

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↳ General Artificial Intelligence Metal Skull With Terminator Eye by L.C. Nøttaasen, on Flickr (CC BY-SA 2.0). Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation

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↳ Narrow Artificial Intelligence Danbo on the Lookout by IQRemix, on Flickr (CC BY-SA 2.0).

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Approaches to Artificial Intelligence Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Machine Learning • Predictive analytics • Data mining • Anomaly detection • Email filtering Deep Learning • Image or audio classification • Facial recognition • Object recognition • Image caption generation • Natural language processing

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https://www.npmjs.com/package/magicat

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Install magicat $ npm install -g magicat + [email protected] added 255 packages from 209 contributors in 11.798s

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Animal photos by Susanne Nilsson, on Flickr (CC BY-SA 2.0). 23895621638_535be71dee_k.jpg 37038669284_899d7784a9_k.jpg 37489697170_31d05aa027_k.jpg 37699459356_24fd526a5e_k.jpg 37699976806_5ce694be36_k.jpg

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Scan Directory with magicat $ magicat . --contains sheep Scanning directory '~/tfjs-demos/magicat' for sheep... Sheep found in: 37038669284_899d7784a9_k.jpg 37489697170_31d05aa027_k.jpg

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Save Image Segment with magicat $ magicat 37699976806_5ce694be36_k.jpg --save horse The image '37699976806_5ce694be36_k.jpg' contains the following segments: background, horse. saved 37699976806_5ce694be36_k-horse.png Animal photos by Susanne Nilsson, on Flickr (CC BY-SA 2.0).

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Untitled by Ash Nowak, on Flickr (CC BY-SA 2.0).

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↳ https://veremin.mybluemix.net/

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↳ Deep Learning Code Patterns https://developer.ibm.com/patterns/category/model-asset-exchange/

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Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation 01011001001011000001 10101101010100100110 00010110101010011100 10101010110101010100 10001001011101000101 Software Program Business Logic

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Machine Learning vs. Software Programming Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Machine Learning • Training • High-quality examples (i.e., training data) • Approximation of a correct function Software Programming • Programming • Set of direct instructions • Precisely-defined function

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Backpropagation Labeled Training Data Coat Sneaker T-shirt Sneaker Pullover Output Errors Pullover Coat Coat Sneaker T-shirt ❌ ❌ ❌ Fashion-MNIST dataset by Zalando Research, on GitHub (MIT License).

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Input Output Sneaker 98% Neural Network Inferencing Fashion-MNIST dataset by Zalando Research, on GitHub (MIT License).

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Machine Learning Libraries Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Untitled by Marcin Wichary, on Flickr (CC BY 2.0). The Leeds Library by Michael D Beckwith, on Flickr (CC0 1.0).

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Applying Deep Learning Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Untitled by Marcin Wichary, on Flickr (CC BY 2.0). Sharpest tool in the shed by Lachlan Donald, on Flickr (CC BY 2.0).

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Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Data Science Expertise Computing Resources High-Quality Training Data Model Deployment Time Model Integration Inferencing Code And more… Sharpest tool in the shed by Lachlan Donald, on Flickr (CC BY 2.0).

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↳ IBM Developer Model Asset Exchange (MAX) https://developer.ibm.com/exchanges/models/ Classify Generate Recognize

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Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Microservice Choose deployable model Deep Learning asset from the Model Asset Exchange (MAX) Deploy Swagger specification Inference endpoint Metadata endpoint Input preprocessing, model execution, and output post-processing Deploy model Use model https://developer.ibm.com/exchanges/models/

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↳ Preparing, Building, and Training AI Models Model Asset Exchange (MAX) Data Asset Exchange (DAX)

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⬏ Deploying and Running AI Models ONNX.js Model Asset Exchange (MAX)

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⇄ Operating and Managing AI Systems Fabric for Deep Learning (FfDL) Train and deploy deep learning models on Kubernetes using TensorFlow, Caffe2, PyTorch, and other frameworks Trusted AI • AI Fairness 360 Toolkit: Fairness metrics for machine learning models, explanations for these metrics, and algorithms to mitigate bias • Adversarial Robustness 360 Toolbox: Python library for adversarial attacks and defenses for neural networks • AI Explainability 360 Toolkit: Interpretability and explainability of data and machine learning models

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What will you build with deep learning? Dynamic Earth - Continental Shelf by NASA Goddard Space Flight Center, on Flickr (CC BY 2.0).

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Resources: Machine Learning Libraries 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/

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Resources: 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/

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Resources: 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

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Resources: 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

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Resources: Operating and Managing AI Systems 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

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Thank you. Center for Open-Source Data & AI Technologies (CODAIT) / August 21, 2019 / © 2019 IBM Corporation Bradley Holt Program Manager, Developer Advocacy Center for Open-Source Data & AI Technologies ↳ (CODAIT) — @BradleyHolt | @ibmcodait | @IBMDeveloper medium.com/codait github.com/codait | github.com/IBM developer.ibm.com