Man pages for billyhw/netzuko
| cross_entropy | Compute the negative cross-entropy for multi-class... |
| forward_backward_pass | Compute crucial quantities evaluated from one... |
| get_error_hidden | Compute errors from a layer to the previous layer |
| get_error_output | Compute errors from output to the last hidden layer |
| get_s | Compute the linear predictors to be activated via the... |
| grad_logistic | Compute the gradient of the logistic activation function |
| grad_relu | Compute the gradient of the relu activation function |
| grad_tanh | Compute the gradient of the tanh activation function |
| grad_w | Compute the gradient of the weight for a given layer |
| initialize_weights | Initialize weights |
| kl_divergence | Compute the KL-divergence for logistic output |
| least_square | Compute 1/2 least square error for regression |
| logistic_activation | Compute logistic activation given linear predictors |
| mnist | MNIST Database Training Images |
| netzuko | Fit a neural network using back-propagation |
| predict.netzuko | Make Predictions on a test set |
| relu_activation | Compute ReLU activation given linear predictors |
| scale_matrix | Scale a matrix |
| soft_max | Compute the soft max activation for output predictive... |
| tanh_activation | Compute tanh activation given linear predictors |
