Lightweight library for neural network-based directional prediction
Project description
You need to install numpy
Activation finction
ReLU: relu(x) Relu derivative: relu_derivative(x) Sigmoid: sigmoid(x) Sigmoid derivative: sigmoid_derivative(x) Sigmoid derivative (without activation): sigmoid_derivative_from_output(s) Leaky ReLU: leaky_relu(x, alpha=0.01) Leaky ReLU derivative: Soft max: softmax(z)
Loss
Cross entropy: cross_entropy(y_true, y_pred) MSE Loss: mse_loss(y_true, y_pred)
Metrics
Accuracy: accuracy(output, tags)
Utils
Stats: statistics(loss, error, output, epoch, accuracy)
There is feature in version 1.1.1. Thank for download
Made by: foloip Github: https://github.com/Foloip
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