Intro to Deep Learning (in Clojure and Python)
We're on the 5th floor. The door locks around 6 so look for the phone number on the sign if you need to be let in.
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Description
Deep learning (DL) has become an important topic in the AI and machine learning world. New advances in algorithms, hardware and software have made it a critical part of self driving cars, language translation, image understanding, medical analysis, and many other fields. Though DL systems are commonly written in Python (wrapping C/C++ libraries) we want to explore options available to Clojure developers.
We'll have a 2 part meeting with myself (Julio) and JR leading extended lightning-talk style presentations.
First, Julio will guide us through a discussion on:
• the basics of deep learning and the common tools and libraries • Java and Clojure options (DeepLearning4J and Cortex) and when they may be applicable.
In the second part JR will discuss his experiences while taking a deep learning for self driving cars course.
JR Says: Neural networks are just plain spooky. In just the past few years, they've gotten so good at classifying images (is this a cat or a dog? is this tissue cancerous or non-cancerous?) that they're often better at their task than humans are. In this talk, you'll see how to use a neural network - the same one used by comma.ai, a real-life self-driving car company - to drive a simulated car better than JR can.
python