Machine Learning Resources

Shared in the Dublin Java Usr Group meet up

Transcript

1. @nyghtowl Resources & References • Gorner, Martin (2017 Jan 19) Learn TensorFlow and deep learning without a Ph.D. https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-phd • Muic, Tommy (2016 Sep 25) Exception Models explained and implemented https://hacktilldawn.com/2016/09/25/inception-modules-explained-and-implemented/ • Lewis-Kraus, Gideon (2016 Dec. 14) The Great AI Awakening https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html?smprod=nytcore-ipad&smid=nytcor e-ipad-share&_r=0 • Nielsen, Michael Neural Nets and Deep Learning http://neuralnetworksanddeeplearning.com/ • Karpathy, Andrej (2015) Hacker’s Guide to Neural Nets https://karpathy.github.io/neuralnets/ • Convolutional Networks for Visual Recognition http://cs231n.github.io/ • Hobbs, Paul (2013 Oct 4) How can the various machine learning algorithms be classified summarized... https://www.quora.com/How-can-the-various-machine-learning-algorithms-be-classified-summarized-according-t o-the-problems-they-solve “All code snippets in this presentation are licensed under Apache 2.0 license” • Kaggle Python Docker: https://github.com/Kaggle/docker-python • Keras:https://github.com/fchollet/keras/blob/master/examples/cifar10_cnn.py • Keras model to TF:https://github.com/amir-abdi/keras_to_tensorflow/blob/master/keras_to_tensorflow.ipynb • Tensorflow:https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/exa mples/LabelImage.java