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Infosec FTW

Category Archives: Tools

Predicting deep into the future with segmentation

Self driving car LIDAR and camera download

Screen Shot 2017-03-23 at 11.06.36 PM

GOTURN tracking

CIFAR10 Tensorflow

VAE Tensorflow

Faster R-CNN Pedestrian and Car Detection

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

Visualizing Convnet Layers and activations

Raw data in jpeg format

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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

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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

definition programmer

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Steps to deep learning

screen-shot-2016-09-29-at-10-40-44-am

  1. Clean Dataset
  2. Choose an appropriate model
  3. Choose an activation function
  4. Choose a cost function
  5. Iterate to Optimize