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https://github.com/rqbazan/pupper-cnn


https://github.com/rqbazan/pupper-cnn

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README

          

### Base de conocimiento utilizada

* [Imagenes de razas de perros](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/dogImages.zip)
* [Imagenes de humanos](http://vis-www.cs.umass.edu/lfw/lfw.tgz)
* [Diccionario usado en RestNet50](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a)

### Información

#### Teoria

* [CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
* [TensorFlow - DataCamp Article](https://www.datacamp.com/community/tutorials/tensorflow-tutorial)
* [What's a tensor?](https://www.youtube.com/watch?v=f5liqUk0ZTw) :movie_camera:

#### Deploy

* [Machine Learning Server for Linux 9.2: Virtual Machine on Azure](https://docs.microsoft.com/en-us/machine-learning-server/install/machine-learning-server-azure-vm-on-linux)
* [GPU VM in Azure for Deep Learning](http://www.vickyfu.com/2017/01/gpu-vm-in-azure-for-deep-learning/)
* [Keras with GPU on Amazon EC2 – a step-by-step instruction](https://hackernoon.com/keras-with-gpu-on-amazon-ec2-a-step-by-step-instruction-4f90364e49ac)

#### Proyectos

* [Dog Breed Classifier](https://github.com/jamesrequa/Dog-Breed-Classifier)

### Dependencias

> La mayoria de librerias estan cubiertas por [Anaconda](https://www.anaconda.com)

* [Anaconda](https://www.anaconda.com/download/)
* Keras: `pip install keras` o `git clone https://github.com/fchollet/keras.git && cd keras && python setup.py install `
* TensorFlow: `pip install tensorflow` o `pip install tensorflow-gpu`
* [OpenCV](https://www.scivision.co/install-opencv-python-windows/)

### Dependencias API

* Flask: `pip install flask`
* Flask Restful: `pip install flask_restful` o `git clone https://github.com/flask-restful/flask-restful && cd flask-restful && python setup.py install`