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In the video lectures, Professor Kim showed you how to use TensorFlow to train neural networks to predict outcomes. Now it is your turn to do it.
- Go to: http://playground.tensorflow.org/
- Start with the data set shown in the attachment.
- Play with the various options you have available on the user interface to train the model.
- Your goal is to predict this outcome with a test loss of less than 0.03 in as few epochs as possible.
Note: There is a trade-off here. The more hidden layers you add, the more features you add. With more features, it might take longer to train a model. On the other hand, without enough features (hidden layers and neurons) you may never reach the complexity needed to get a test loss below 0.03
Sample Solution
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