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Hello everyone! I hope you enjoyed Alexanders first lecture. Im Ava and in this second lecture, Lecture 2, were going to focus on this question of sequence modeling -- how we can build neural networks that can handle and learn from sequential data. So in Alexanders first lecture he introduced the essentials of neural networks starting with perceptrons building up to feed forward models and how you can actually train these models and start to think about deploying them forward. Now were going to turn our attention to specific types of problems that involve sequential processing of data and well realize why these types of problems require a different way of implementing and building neural networks from what weve seen so far. And I think some of the components in this lecture traditionally can be a bit confusing or daunting at first but what I really really want to do is to build this understanding up from the foundations walking through step by step de