A simple TensorFlow-like graph computation framework in Python for learning purpose
import simpleflow as sf
# Create a graph
with sf.Graph().as_default():
a = sf.constant(1.0, name='a')
b = sf.constant(2.0, name='b')
result = sf.add(a, b, name='a+b')
# Create a session to run the graph
with sf.Session() as sess:
print(sess.run(result))- Computational Graph
- Feed forward propagation
- Backpropagation
- GradientDescent Optimizer
- Linear Regression Example
- MNIST classification Example