ashsaccade / NN-implementation

Neural Networks

Necessary for work:

1. Theano or TensorFlow computational backend library
2. Library of deep learning of the neural network Keras
3. NumPy is the fundamental package for scientific computing with Python

Repositories

1. conv - Convolutional neural network by example cifar10
2. istm -
3. mnist - NN by mnist data
4. vgg16 - NN recognizes images on pre-trained networks (16 layers)