Using LeakyRelu as activation function in CNN and best alpha for it

Question

Since if we do not declare the activation function, the default will be set as linear for Conv2D layer. Is it true to write:

model.add(Conv2D(32, kernel_size=(3, 3),
           input_shape=(380,380,1))
model.add(LeakyReLU(alpha=0.01))

I mean now by the written lines, the activation function for Conv2D layer is set as LeakyRelu or not?

Further, I want to know what is the best alpha? I couldn't find any resources analyzing it.