Tensorflow tutorials for one-month.
- Checking Tensorflow requirement
- Seeing MNIST data
- How to Random Batch
- LinearRegression with MNIST
- LogisticRegression with MNIST
- MLP with MNIST
- Dropout MLP with MNIST
- Xavier initialize with MNIST
- CNN with MNIST
- Dropout CNN with MNIST
- Save/Load Tensorflow graph
- Observing CNN layer
- Simple Image manipulation
- Changing Image to dataset
- MLP with my-images
- CNN with my-images
- VGG19-net
- VGG19-net with my-images
- Neural Style
- Denoising Auto Encoder (MLP) with MNIST
- Denoising Auto Encoder (CNN) with MNIST
- Global average pooling (CNN) with MNIST
- Global average pooling (CNN) with my-images
- Tensorboard
- RNN with MNIST
- Hangul manipulation
- Word2Vector (Word-Embedding)
- RNN Hangul Fiction generator
- RNN translation English to Korean
- Memory Network
- DCGAN
- DQN
- TensorFlow
- Numpy
- SciPy
- Jupyter Notebook
- Pretrained VGG19-net
- my-images(I used GRAZ_02 which include bike, person, cars)
This is simple modifyed of Sungjoon's Tutorial and Anishathalye's NeuralStyle