class_docstr: MLP model.
  
  T = Relu(Add(MatMul(A, B), C))
  R = Relu(Add(MatMul(T, D), E))
class_docstr_tok: ["MLP","model",".","T","=","Relu","(","Add","(","MatMul","(","A",",","B",")",",","C",")",")","R","=","Relu","(","Add","(","MatMul","(","T",",","D",")",",","E",")",")"]
code: def inference(self, inputs):
      return self._forward(inputs, self.w1, self.w2, self.b1, self.b2)
  
imports: import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.inference(inputs) and returns: self