In kostya75/mlbasic1: basic neural networks and logistic regression

knitr::opts_chunk$set(
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This vignette document is the official description of the super advanced package runs a basic multilayer neural network

To use the package you will need:

• input matrix of features formated so that every training example is a column
• matrix of labels

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Detailed usage

• you can supply multiple years at once in

# Estimate parameters
model_dim<-c(first_layer,,l2,l3,...,1)
parameters<-L_layer_model(X, Y, layers_dims=model_dim, learning_rate = 0.0075, num_iterations = 3000, print_cost=F)

predict_nn_L_layer(X_new, parameters)

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Package also contains data 'X' and 'Y' that can be accessed as:

data(package="mlbasic1")

kostya75/mlbasic1 documentation built on June 21, 2020, 12:56 a.m.