neural network configuration and tensorflow model hyperparameters
extra instance properties
Predicts new dependent variables
model prediction options
returns tensorflow prediction
Adds dense layers to tensorflow classification model
independent variables
dependent variables
model dense layer parameters
validation data independent variables
validation data dependent variables
Loads a saved tensoflow / keras model, this is an alias for
tensorflow load model options
tensorflow model
Returns prediction values from tensorflow model
new test independent variables
predicted model values
saves a tensorflow model, this is an alias for
tensorflow save model options
tensorflow model
Asynchronously trains tensorflow model
independent variables
dependent variables
array of model dense layer parameters
returns trained tensorflow model
Returns the shape of an input matrix
input matrix
returns the shape of a matrix (e.g. [2,2])
Reshapes an array
input array
shape array
returns a matrix with the defined shape
Logistic Regression Classification with Tensorflow
{BaseNeuralNetwork}