02. DeepTraffic
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DeepTraffic
Another great application of deep learning is in simulating traffic and making driving decisions. You can find the DeepTraffic simulator here . The network here is attempting to learn a driving strategy such that the car is moving as fast as possible using reinforcement learning . The network is rewarded when the car chooses actions that result in it moving fast. It's this feedback that allows the network to find a strategy of actions for optimal speed.
To learn more about setting the parameters and training the network, read the overview here .
Discuss how you built your network and your results with your fellow students in the #general channel on Slack.