Powerai - the Ecosystem and Resources for Developers

IBM Systems

PowerAI - The Ecosystem and Resources for developers

Jean-Armand Broyelle June 2018 IBM Systems – Cognitive Era

© 2017 International Business Machines Corporation 2 IBM Systems – Cognitive Era Agenda • Education material : MOOC, Technical Education videos • IBM Web sites • Technical documentation • PowerAI Cloud resources • Examples • Public DataSets

• https://www.tensorflow.org/tutorials/ • https://developer.nvidia.com/dli/onlinelabs • https://www.edx.org • https://classroom.udacity.com/courses/cs344 • https://www.udacity.com/course/intro-to-parallel-programming--cs344 • https://www.lynda.com/ • https://www.pluralsight.com/ • https://www.nimbix.net/press/ibm-nvidia-powerful-gpu-cloud/ • https://overiq.com/python/3.4/numbers-in-python

© 2017 International Business Machines Corporation 4 IBM Systems – Cognitive Era Tensorflow • TensorFlow for beginner – https://cs224d.stanford.edu/lectures/CS224d-Lecture7.pdf • Tensorboard – http://web.stanford.edu/class/cs20si/lectures/notes_02.pdf • Tensorboard applied to Deep Learning NN – https://idl.cs.washington.edu/files/2018-TensorFlowGraph-VAST.pdf • Tensorflow documentation – https://www.tensorflow.org/versions/master/get_started/ • Tensorboard Dev summit – https://www.tensorflow.org/dev-summit/schedule/

• Open Data Sets that could be used for building learning models - complete with data and kernels https://www.kaggle.com/datasets MSCOCO : http://cocodataset.org/#home videos corpus microsoft : https://www.microsoft.com/en-us/download/details.aspx?id=52422 https://deeplearning4j.org/opendata Imagenet, spaceNet : https://aws.amazon.com/fr/public-datasets/spacenet/ Health care https://isic-archive.com/#images http://ai.stanford.edu/~jkrause/cars/car_dataset.html https://computervisiononline.com/datasets •Automotive datasets : Mapillary Vistas Dataset, KITTI Vision Bench-mark Suite or Cityscapes dataset. synthetic datasets : SYNTHetic , SYNTHIA

© 2017 International Business Machines Corporation 7 IBM Systems – Cognitive Era IBM web sites • Artificial Intelligence Powered by Kubernetes - Webinar 1/17/2018 https://developer.ibm.com/event/artificial-intelligence-powered- kubernetes/

• developerWorks - Code patterns site - complete with links to sample code https://developer.ibm.com/code/patterns/

• developerWorks - Cognitive computing - Tutorials/Training, Tools/Code https://www.ibm.com/developerworks/learn/cognitive/ • IBM redbook http://w3.itso.ibm.com/abstracts/sg248409.html?Open

© 2017 International Business Machines Corporation 10 IBM Systems – Cognitive Era Download sites • NVIDIA CUDA Toolkit • https://developer.nvidia.com/cuda-toolkit • ° NVIDIA drivers download site • http://www.nvidia.com • OpenBLAS • http://www.openblas.net/

• http://tutorial.caffe.berkeleyvision.org/ • http://tutorial.caffe.berkeleyvision.org/caffe-cvpr15-sequences.pdf • https://www.nvidia.com/en-us/deep-learning-ai/solutions/ • https://www.tensorflow.org/ • http://download.tensorflow.org/paper/whitepaper2015.pdf • https://www.youtube.com/watch?v=oZikw5k_2FM&feature=youtu.be&t=61 • http://colah.github.io/posts/2014-07-Conv-Nets-Modular/ • https://github.com/rasbt/pattern_classification, https://github.com/rasbt/python- machine-learning-book • https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0 • http://www.cs.toronto.edu/~hinton/digits.html • https://www.wired.com/2015/11/google-open-sourcing-tensorflow-shows-ais- future-is-data-not-code/ • https://www.udacity.com/course/deep-learning--ud730 • http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in- tensorflow/ • http://emnlp2014.org/papers/pdf/EMNLP2014194.pdf • https://github.com/zer0n/deepframeworks • https://www.slideshare.net/IndrajitPoddar/fast-scalable-easy-machine-learning- with-openpower-gpus-and-docker • https://aitopics.org/

© 2017 International Business Machines Corporation 13 IBM Systems – Cognitive Era Demo: Machine Learning with Financial Data based on: https://github.com/googledatalab/notebooks/blob/master/samples/TensorFlow/Machine%20Learning%20with%20Financial%20Data.ipynb

Access to resources to run Demo/PoT here: http://www.ibm.com/systems/clientcenterdemonstrations

To learn more: https://cognitiveclass.ai/ Developers can sign up for access to resources on Nimbix: https://developer.ibm.com/linuxonpower/deep-learning-powerai