A simple TensorFlow-like graph computation framework in Python for learning purpose
importsimpleflowassf# Create a graphwithsf.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 withsf.Session() assess:
print(sess.run(result))- Computational Graph
- Feed forward propagation
- Backpropagation
- GradientDescent Optimizer
- Linear Regression Example
- MNIST classification Example