BigSnarf blog

Infosec FTW

Monthly Archives: October 2016

Keras Cats and Dogs

Create Validation Dataset

THEANO_FLAGS=device=gpu,floatX=float32 python script_1.py

THEANO_FLAGS=device=gpu,floatX=float32 python script_2.py

https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html

https://github.com/openimages/dataset/wiki/Running-a-pretrained-classifier

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Visualizing Convnet Layers and activations

Raw data in jpeg format

seveb

jpeg converted to greyscale value integers in numpy array

screen-shot-2016-10-19-at-1-13-44-pm

integers converted to floats in numpy array

screen-shot-2016-10-19-at-1-13-34-pm

floats are between values 0.0-255.0 need to be converted to floats between 0.0-1.0

screen-shot-2016-10-19-at-1-13-21-pm

These are visualizations of the filters in Tensorflow layers

screen-shot-2016-10-18-at-5-06-38-pm

These are the visualization of the activations of the Tensorflow convolutional layers

screen-shot-2016-10-18-at-1-33-32-pm

Self Driving Car Standards

Testing (Semi) Autonomous Cars With Tesla, Cadillac, Hyundai, and Mercedes

Tesla Autopilot is shown outperforming Mercedes, Hyundai and Cadillac in third-party tests

Tesla is about to increase its lead in semi-autonomous driving w/ ‘Tesla Vision’: computer vision based on NVIDIA’s parallel computing