Pros:

• Prevents dying ReLU problem—this variation of ReLU has a small positive slope in the negative area, so it does enable backpropagation, even for negative input values
• Computationally efficient—allows the network to converge very quickly
• Non-linear—although it looks like a linear function, Leakly ReLU has a derivative function and allows for backpropagation.

Cons:

• Results not consistent—leaky ReLU does not provide consistent predictions for negative input values.