DeepLearning_TensorFlow

a python implementation of deeplearning using TensorFlow

TensorFlow

http://tensorflow.org/

Features

• Loading Data
• Createing mini-batch
• LogisticRegression
• MLP using tensorflow structure and tensorboard
• CNN_minit for new algorithm experiments with MNIST
• CNN_cminit for new algorithm experiments with Cluttered MNIST
• CNN_tiny(AlexNet 2010)
• CaffeNet(AlexNet 2012)
• CNN_depth
• BatchNormalization
• SpatialTransfomerNetwork
• SpatialTransfomerNetwork with AlexNet 2012 (pretrain and fine-tuning structure)
• DCGAN https://github.com/MasazI/dcgan
• InceptionV3 https://github.com/MasazI/InceptionV3_TensorFlow
• tiny distributed tensorflow https://github.com/MasazI/tiny_distributed_tf

if you use pyenv and anaconda: add /path/to/.pyenv/versions/anaconda-2.0.1/bin/ into PATH

visualization

tensorboard --logdir /to/your/path/train --port=6006

Copyright (c) 2015 Masahiro Imai Released under the MIT license