Training Algorithms Basics Initialization Training Prediction Algorithms with constructible architecture Specify network structure Train networks with multiple inputs Algorithms Loss functions Train network on GPU Signals and Early stopping Basics Early stopping Scikit-learn compatibility Fit method Transform method Pipelines Issues « Mixing NeuPy with Tensorflow Basics »