Version 1.4.0

• The Adversarial class now remembers the model output for the best adversarial so far. For deterministic models this is the same as fmodel.predictions(adversarial.image), but it can be useful for non-deterministic models. Note that very close to the decision boundary even otherwise deterministic models can become stochastic because of non-deterministic floating point operations such as reduce_sum. In addtion to the new output attribute, there is also a new adversarial_class attribute for convience; it just takes the argmax of the output.
• new ADefAttack thanks to @EvgeniaAR
• new NewtonFoolAttack thanks to @bveliqi
• new FAQ section in the docs: https://foolbox.readthedocs.io/en/latest/user/faq.html