Tensorflow-1month

Tensorflow tutorials for one-month.

31 Days contents

1. Checking Tensorflow requirement
2. Seeing MNIST data
3. How to Random Batch
4. LinearRegression with MNIST
5. LogisticRegression with MNIST
6. MLP with MNIST
7. Dropout MLP with MNIST
8. Xavier initialize with MNIST
9. CNN with MNIST
10. Dropout CNN with MNIST
11. Save/Load Tensorflow graph
12. Observing CNN layer
13. Simple Image manipulation
14. Changing Image to dataset
15. MLP with my-images
16. CNN with my-images
17. VGG19-net
18. VGG19-net with my-images
19. Neural Style
20. Denoising Auto Encoder (MLP) with MNIST
21. Denoising Auto Encoder (CNN) with MNIST
22. Global average pooling (CNN) with MNIST
23. Global average pooling (CNN) with my-images
24. Tensorboard
25. RNN with MNIST
26. Hangul manipulation
27. Word2Vector (Word-Embedding)
28. RNN Hangul Fiction generator
29. RNN translation English to Korean
30. Memory Network
31. DCGAN
32. DQN

Requirements

• TensorFlow
• Numpy
• SciPy
• Jupyter Notebook
• Pretrained VGG19-net
• my-images(I used GRAZ_02 which include bike, person, cars)

Note

This is simple modifyed of Sungjoon's Tutorial and Anishathalye's NeuralStyle