This topic covers how to use Java to implement deep learning for tasks such as image and speech recognition, natural language processing, and recommender systems. Topics we’ll cover: - What's deep learning - Java vs Python: is Java relevant for deep learning - Implementations for deep learning and libraries on the market right now - Demo

Talk Level:
BEGINNER

Bio:
Vasil Mitov is a Software Development Lead at MentorMate with more than 7 years of professional experience. He joined MentorMate in 2019, and since then he has worked on a variety of projects, from small to enterprise - a security library, a warehouse system, and one of the most innovative health projects in the US. Vasil's professional experience includes microservice architecture on cloud platforms like AWS and Google App Engine, gRPC, GAE Pub/Sub, MySQL, RPC, Linux frameworks, SparkJava, and many more. He has more than 6 years of solid Java and Kotlin experience. Vasil is a security enthusiast and is knowledgable with OAuth2, Active Directory, and SAML. Vasil is enthusiastic not only about learning new things and developing new skills, but sharing them with the JAVA community - previously he has led presentations on various JAVA topics, including "Event sourcing and CQRS” and " TDD and BDD why the shenanigans?".