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Deep learning/neural network is the new buzzword. While there are many libraries that provide a complete model in one API call, building things from scratch is still the best way to learn all the details both in theory and in implementation.
In this talk, you will explore what a feed forward network is, and learn how to build and train one from scratch, trying best not to use any external machine learning or math libraries. And you will discover if it can perform on some benchmark datasets.
After that, you will also learn some of the tools available in Scala community for this domain.
A basic understanding of linear algebra is preferred.
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Joy is a senior software engineer at Disney Streaming Services. She builds distributed systems at day time and trains Atari games to play themselves at night time. Although way too often she ends up playing the games herself.