I recently graduated from UC Berkeley, where I majored in physics and minored in computer science. I`m extremely passionate about contributing to research and learning in general, and in my free time I`m either working through textbooks, personal projects, or browsing blogs related to ML/AI. Currently, I`m working on improving . With the new r1.0 Python API, there is still plenty left to be explored in terms of models and design decisions. This project also hopes to explore novel sequence-to-sequence architectures, e.g. adding pre-trained deep autoencoders, as well as alternatives to back-propagation for gradual learning, e.g. recirculation. ©