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Made grammatical corrections #76

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10 changes: 5 additions & 5 deletions DriveSim.md
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Follow the instructions to train a generative model as described by
[Learning a Driving Simulator](http://arxiv.org/abs/1608.01230).

1) Download dataset
1) Download the dataset
```
./get_data.sh
```
Expand All @@ -11,16 +11,16 @@ Follow the instructions to train a generative model as described by
```bash
./server.py --batch 64
```
For maximum performance we recommend using tmux. screen is not good.
For maximum performance, we recommend using tmux. Screen is not good.
3) Train auto encoder in the second terminal
```bash
./train_generative_model.py autoencoder --batch 64
```
This will create two folders called `outputs/results_autoencoder` with model checkpoints
and `outputs/samples_autoencoder` with samples from the generative model. In the sampled
images odd columns are generated and even column images are target images.
images, odd columns are generated and even column images are target images.

Once the autoencoder model is trained you can stop the previous server and
Once the autoencoder model is trained, you can stop the previous server and
start training the transition model

4). Run server for transition model
Expand All @@ -46,4 +46,4 @@ logs using Tensorboard by typing
```
<img src="./images/drive_simulator.gif">

Here your job is to make the video look so great that it could be used train a steering angle model.
Here, your job is to make the video look so great that it could be used to train a steering angle model.
2 changes: 1 addition & 1 deletion README.md
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## the comma.ai driving dataset

7 and a quarter hours of largely highway driving. Enough to train what we had in [Bloomberg](http://www.bloomberg.com/features/2015-george-hotz-self-driving-car/).
Contains 7 and a quarter hours of largely highway driving. Enough to train what we had in [Bloomberg](http://www.bloomberg.com/features/2015-george-hotz-self-driving-car/).

## Examples

Expand Down