Pinned Repositories
bitwise_batch_normalization
Implementation of test code for bitwise batch normalization for binary neural networks
BMXNet
clustering
docker
Repository for docker files for my projects
image_keras
Building an image classifier using keras
one-class-svm-rnn
Implementation for RNN with one-class-SVM as classifier
sandbox
Sandbox repository for ideas and tests
TensorFlowCode
Collection of code that I found useful with tensorFlow
UdacityCode
Repository for code that I wrote/modified for Udacity classes
UdacityReflections
Reflection files for Udacity classes
isabel-schwende's Repositories
isabel-schwende/bitwise_batch_normalization
Implementation of test code for bitwise batch normalization for binary neural networks
isabel-schwende/one-class-svm-rnn
Implementation for RNN with one-class-SVM as classifier
isabel-schwende/TensorFlowCode
Collection of code that I found useful with tensorFlow
isabel-schwende/BMXNet
isabel-schwende/clustering
isabel-schwende/docker
Repository for docker files for my projects
isabel-schwende/image_keras
Building an image classifier using keras
isabel-schwende/sandbox
Sandbox repository for ideas and tests
isabel-schwende/UdacityCode
Repository for code that I wrote/modified for Udacity classes
isabel-schwende/UdacityReflections
Reflection files for Udacity classes
isabel-schwende/doc_test
Test sandbox for documentation hosting
isabel-schwende/go_playground
My personal golang playground for getting to know the language better
isabel-schwende/illustration
isabel-schwende/jupyter_notebooks
jupyter notebook collection
isabel-schwende/keras-mobilenet
Google MobileNet implementation with Keras
isabel-schwende/pg2dm-python
isabel-schwende/rain_challenge
Challenge to remove rain, raindrops and mist from images
isabel-schwende/recipes
isabel-schwende/startjekyll
An example and guide to getting started with Jekyll and static site generators.
isabel-schwende/SVM-CNN
A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.