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 __init__(
      self,
      num_classes=NUM_CLASSES,
      input_size=INPUT_SIZE,
      hidden_units=HIDDEN_UNITS,
  ):
      self.w1 = np.random.uniform(
          size=[input_size, hidden_units]
      ).astype(np.float32)
      self.w2 = np.random.uniform(
          size=[hidden_units, num_classes]
      ).astype(np.float32)
      self.b1 = np.random.uniform(size=[1, hidden_units]).astype(
          np.float32
      )
      self.b2 = np.random.uniform(size=[1, num_classes]).astype(
          np.float32
      )
  
imports: import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new MLP object  with example: obj = MLP(num_classes, input_size, hidden_units)