This is the ipython notebook for my tutorial at PyData NYC on generating text using neural networks with Keras in Python.
My github repo has the presentation and code, you can find it here or if you’d like you can clone this Azure notebook instead.
Apologies for ending the previous post a tad bit abruptly, seemed to have ran out of juice there. Now I’m back to continue where I left off from with a simple way to understand LSTM Neural Networks. Since LSTMs are all the rage now, this is a good way to get started working on them.
Neural Networks are essentially our way of trying to mimic the all powerful functions of the human brain. When I first heard of it, I was pretty excited and a little skeptical because I didn’t really think we could achieve something so complex. Turns out we’re not too bad at it. It starts with a simple understanding of the human brain.