DeepLearning Model Builder
Project description
"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.
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