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Added links and instructions for running on Google Colab
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@Hvass-Labs
Hvass-Labs committed Aug 22, 2018
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Expand Up @@ -13,57 +13,109 @@ Original author is [Magnus Erik Hvass Pedersen](http://www.hvass-labs.org)

## Tutorials

1. Simple Linear Model ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/01_Simple_Linear_Model.ipynb))
1. Simple Linear Model
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/01_Simple_Linear_Model.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/01_Simple_Linear_Model.ipynb))

2. Convolutional Neural Network ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/02_Convolutional_Neural_Network.ipynb))
2. Convolutional Neural Network
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/02_Convolutional_Neural_Network.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/02_Convolutional_Neural_Network.ipynb))

3. ~~Pretty Tensor~~ ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03_PrettyTensor.ipynb))
3. ~~Pretty Tensor~~
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03_PrettyTensor.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/03_PrettyTensor.ipynb))

3-B. Layers API ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03B_Layers_API.ipynb))
3-B. Layers API
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03B_Layers_API.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/03B_Layers_API.ipynb))

3-C. Keras API ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03C_Keras_API.ipynb))
3-C. Keras API
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/03C_Keras_API.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/03C_Keras_API.ipynb))

4. Save & Restore ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/04_Save_Restore.ipynb))
4. Save & Restore
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/04_Save_Restore.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/04_Save_Restore.ipynb))

5. Ensemble Learning ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/05_Ensemble_Learning.ipynb))
5. Ensemble Learning
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/05_Ensemble_Learning.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/05_Ensemble_Learning.ipynb))

6. CIFAR-10 ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/06_CIFAR-10.ipynb))
6. CIFAR-10
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/06_CIFAR-10.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/06_CIFAR-10.ipynb))

7. Inception Model ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/07_Inception_Model.ipynb))
7. Inception Model
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/07_Inception_Model.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/07_Inception_Model.ipynb))

8. Transfer Learning ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/08_Transfer_Learning.ipynb))
8. Transfer Learning
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/08_Transfer_Learning.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/08_Transfer_Learning.ipynb))

9. Video Data ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/09_Video_Data.ipynb))
9. Video Data
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/09_Video_Data.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/09_Video_Data.ipynb))

10. Fine-Tuning ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/10_Fine-Tuning.ipynb))
10. Fine-Tuning
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/10_Fine-Tuning.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/10_Fine-Tuning.ipynb))

11. Adversarial Examples ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/11_Adversarial_Examples.ipynb))
11. Adversarial Examples
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/11_Adversarial_Examples.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/11_Adversarial_Examples.ipynb))

12. Adversarial Noise for MNIST ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/12_Adversarial_Noise_MNIST.ipynb))
12. Adversarial Noise for MNIST
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/12_Adversarial_Noise_MNIST.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/12_Adversarial_Noise_MNIST.ipynb))

13. Visual Analysis ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/13_Visual_Analysis.ipynb))
13. Visual Analysis
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/13_Visual_Analysis.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/13_Visual_Analysis.ipynb))

13-B. Visual Analysis for MNIST ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/13B_Visual_Analysis_MNIST.ipynb))
13-B. Visual Analysis for MNIST
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/13B_Visual_Analysis_MNIST.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/13B_Visual_Analysis_MNIST.ipynb))

14. DeepDream ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/14_DeepDream.ipynb))
14. DeepDream
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/14_DeepDream.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/14_DeepDream.ipynb))

15. Style Transfer ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/15_Style_Transfer.ipynb))
15. Style Transfer
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/15_Style_Transfer.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/15_Style_Transfer.ipynb))

16. Reinforcement Learning ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/16_Reinforcement_Learning.ipynb))
16. Reinforcement Learning
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/16_Reinforcement_Learning.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/16_Reinforcement_Learning.ipynb))

17. Estimator API ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/17_Estimator_API.ipynb))
17. Estimator API
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/17_Estimator_API.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/17_Estimator_API.ipynb))

18. TFRecords & Dataset API ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/18_TFRecords_Dataset_API.ipynb))
18. TFRecords & Dataset API
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/18_TFRecords_Dataset_API.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/18_TFRecords_Dataset_API.ipynb))

19. Hyper-Parameter Optimization ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/19_Hyper-Parameters.ipynb))
19. Hyper-Parameter Optimization
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/19_Hyper-Parameters.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/19_Hyper-Parameters.ipynb))

20. Natural Language Processing ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/20_Natural_Language_Processing.ipynb))
20. Natural Language Processing
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/20_Natural_Language_Processing.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/20_Natural_Language_Processing.ipynb))

21. Machine Translation ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/21_Machine_Translation.ipynb))
21. Machine Translation
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/21_Machine_Translation.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/21_Machine_Translation.ipynb))

22. Image Captioning ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/22_Image_Captioning.ipynb))
22. Image Captioning
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/22_Image_Captioning.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/22_Image_Captioning.ipynb))

23. Time-Series Prediction ([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/23_Time-Series-Prediction.ipynb))
23. Time-Series Prediction
([Notebook](https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/23_Time-Series-Prediction.ipynb))
([Google Colab](https://colab.research.google.com/github/Hvass-Labs/TensorFlow-Tutorials/blob/master/23_Time-Series-Prediction.ipynb))

## Videos

Expand Down Expand Up @@ -129,11 +181,18 @@ There are reports that Python 2.7 gives error messages with these tutorials. Ple

### Environment

After installing [Anaconda](https://www.continuum.io/downloads), you should create a [conda environment](http://conda.pydata.org/docs/using/envs.html)
After installing [Anaconda](https://www.continuum.io/downloads), you should create a
[conda environment](http://conda.pydata.org/docs/using/envs.html)
so you do not destroy your main installation in case you make a mistake somewhere:

conda create --name tf python=3

When Python gets updated to a new version, it takes a while before TensorFlow also
uses the new Python version. So if the TensorFlow installation fails, then you may
have to specify an older Python version for your new environment, such as:

conda create --name tf python=3.6

Now you can switch to the new environment by running the following (on Linux):

source activate tf
Expand All @@ -154,15 +213,39 @@ in a terminal:
Note that the GPU-version of TensorFlow also requires the installation of various
NVIDIA drivers, which is not described here.

### Testing
## How To Run

You should now be able to run the tutorials in the Python Notebooks:
If you have followed the above installation instructions, you should
now be able to run the tutorials in the Python Notebooks:

cd ~/development/TensorFlow-Tutorials/ # Your installation directory.
jupyter notebook

This should start a web-browser that shows the list of tutorials. Click on a tutorial to load it.

### Run in Google Colab

If you do not want to install anything on your own computer, then the Notebooks
can be viewed, edited and run entirely on the internet by using
[Google Colab](https://colab.research.google.com). There is a
[YouTube video](https://www.youtube.com/watch?v=Hs6HI2YWchM) explaining how to do this.
You click the "Google Colab"-link next to each tutorial listed above.
You can view the Notebook on Colab but in order to run it you need to login using
your Google account.
Then you need to execute the following commands at the top of the Notebook,
which clones the contents of this repository to your work-directory on Colab.

import os
work_dir = "/content/TensorFlow-Tutorials/"
if os.getcwd() != work_dir:
!git clone https://github.com/Hvass-Labs/TensorFlow-Tutorials.git
os.chdir(work_dir)

All required packages should already be installed on Colab, otherwise you
can run the following command:

!pip install -r requirements.txt

## Older Versions

Sometimes the source-code has changed from that shown in the YouTube videos. This may be due to
Expand Down

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