toynn 0.0.3

DeepLearning Model Builder

"toynn" is a handy Neral Network model builder.

You'll be able to create a model in the desired structure with a single line of code. Easily train, predict and visualize your model.

"toynn" supports 'export' and 'import' of models in 'json' format.

Simple example for usage is like below.

import toynn

#build a model model = toynn.model.ANN(input_shape=(1, 784), shape = (100, 100, 100, 10), output="softmax", activation=("relu", "relu", "relu")) model.describe()

#train model.train(y= TRAIN_BATCH, t= ANSWER_BATCH, learning_rate=0.001, iteration=1000)

#predict model.predict(x = INPUT)

#export model as a 'json' file to a local directory model.export(directory = "C:\Users.......//", file_name="myModel.json")

#import model from a local directory factory = toynn.factory.factory() model2 = factory.make(directory = "C:\User.....\myModel.json")

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Updates on more types of model such as 'CNN', 'LSTM' is planned. Thanks, and please contact the author via e-mail for any comment.

#current issues

• 'batch_normalization'
• 'dropout'
• official documentation