Little experiment with a simple neural network and the kaggle competition: https://www.kaggle.com/c/titanic
Simple feed forward neural network based solution comprising of fully connected layers and a sigmoid activation function on each.
- 6 inputs
- 3 hidden layers
- 6 Nodes
- 10 Nodes
- 4 Nodes
- 1 output node
Trained using the TensorFlow AdamOptimizer to minimize cost.
- learning rate = 0.001
- learning epochs = 10000