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Deep Learning for beginner

Project description

SenKuu —— Deep Learning for beginners




基于 NumPy 的深度学习模型开发框架,通过搭积木的方式来组装神经网络模型。API 借鉴了 Keras 的设计。

Contact Me: senkuu @



LearnDL is distributed under the Apache license 2.0.

Getting started: 10 seconds to SenKuu

from senkuu.model import Model
from senkuu.structures.layers import Input, Dense

model = Model()
model.add(Input(units=2))  # The first layer must be Input layer
model.add(Dense(units=3, activation='tanh'))
model.add(Dense(units=1, activation='sigmoid'))

model.set(loss='binary_crossentropy', optimizer='adam',  
          metrics=['acc', 'precision', 'recall', 'f1'])

model.train(train_x, train_y, epochs=100, validation=0.2)

loss, score = model.test(test_x, test_y)
print(loss, score)

model.predict(new_x, onlyclass=True)


There are two ways to install Senkuu:

  • (Recommended) install SenKuu from PyPI:
$ pip install senkuu
  • (Alternatively) install SenKuu from GitHub source:
$ git clone

Developed & Developing Functions




Data Flow

data flow

Why this name, SenKuu?

Here is Senkuu, senkuu from 《Dr.Stone》

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