| action | Choose taken action according to a given state |
| activations | calculate activations in neural network. |
| backprop | Backpropagate data on a neural network |
| backprop_policy | Backpropagate data on a neural network |
| color_gradient.nn | Create hexadecimal color between red and green for a value... |
| DDPG | Train a DDPG system. |
| dLReLU | Leaky Rectified Linear Unit activation function |
| dReLU | Rectified Linear Unit activation function |
| dsig | Sigmoid derivative function |
| errors | calculate errors in neural network for derivatives. Errors... |
| gradients | calculate gradients in neural network. |
| hello | Hello, World! |
| LReLU | Leaky Rectified Linear Unit activation derivative function |
| neuralnetwork | Initialize a neural network |
| plot_nn | Plot a neural network |
| predict_nn | Predict outputs of neural network |
| ReLU | Rectified Linear Unit activation derivative function |
| see_DDPG | See convergence of weights |
| see_variables_impact | See effect of every inputs on actions or rewards |
| sig | Sigmoid function |
| state | Create state of an object |
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