message: Done withimports and spelling mistake.
diff: @@ -17,9 +17,8 @@ tf.bitcast() and tf.cast() work differently when real dtype is casted as a compl
  gives module error.
  For example,
  Example 1:
  ->>> import tensorflow as tf
  >>> a = [1., 2., 3.]
  ->>> euality_bitcast = tf.bitcast(a,tf.complex128)
  +>>> equality_bitcast = tf.bitcast(a,tf.complex128)
  tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot bitcast from float to complex128: shape [3] [Op:Bitcast]
  >>> equality_cast = tf.cast(a,tf.complex128)
  >>> print(equality_cast)
  @@ -30,7 +29,6 @@ Example 2:
  <tf.Tensor: ... shape=(4,), dtype=uint8, numpy=array([255, 255, 255, 255], dtype=uint8)>
  Example 3:
  ->>> import tensorflow as tf
  >>> x = [1., 2., 3.]
  >>> y = [0., 2., 3.]
  >>> equality= tf.equal(x,y)
  