9. ML Manual Image Annotation Tools

   Mar 13, 2018

   https://en.wikipedia.org/wiki/List_of_manual_image_annotation_tools

   #ml #machinelearning

10. Step-By-Step Guidelines for Building ML in a Product

    Mar 9, 2018

    https://developers.google.com/machine-learning/rules-of-ml/

    #machinelearning #ai #ml #neuralnetwork

11. Understanding Hinton’s Capsule Networks

    Dec 8, 2017

    https://medium.com/ai%C2%B3-theory-practice-business/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b

    #neural-networks

12. Bad Marshal Data Error

    Nov 11, 2017

    https://github.com/fchollet/keras/issues/7440

    #machinelearning

13. Use Full Yolo 2 in CoreML

    Nov 11, 2017

    If you want to reuse the existing Yolo 2 network and weights without retraining, another option that I just got working, but is a bit involved, is roughly:

    Use the existing YAD2K steps to convert the yolo cfg and weights into an h5 file. Clone the coremltools repo and follow …

    READ MORE »

    #machinelearning

14. iOS Neural Network Framework

    Nov 4, 2017

    https://github.com/hollance/Forge

    #machinelearning #ios

15. Tiny Yolo on iOS

    Nov 4, 2017

    https://github.com/hollance/YOLO-CoreML-MPSNNGraph

    #machinelearning

16. iOS CoreML + Keras + MNIST

    Oct 30, 2017

    https://sriraghu.com/2017/07/06/computer-vision-in-ios-coremlkerasmnist/

    #machinelearning

17. Efficient Object Localization Using Convolutional Networks

    Oct 29, 2017

    http://www.cims.nyu.edu/~tompson/others/tompson_cvpr15.pdf

    #machinelearning

18. Notes for CS231n: Convolutional Neural Networks for Visual Recognition

    Oct 29, 2017

    http://cs231n.github.io

    #machinelearning

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