Recommended way to start learning ANNs with python pyBrain.

I am familiar with most machine learning algorithms and want to pick up a better understanding of Neural Networks and setting them up in python using pyBrain.

Are there any good books/ intros to subjects like Self Organizing maps, Feed Forward Neural Networks, Boltzmann Machines, Autoencoder, Recurrent neural network.

Also are there any tutorial on Python pybrain library of implementations?

So I want to get an understanding up to the point were I am able to understand how to implement Deep learning for problem solving and understand research papers.

So far my math background is time series analysis, statistics (regression analysis, kind of weak in probability theory and bayesian since I learn it myself), linear algebra, vector calculus and differential equation (needs refreshing since I have not used both of them in a while)