AI and deep learning are transforming the way we understand software, making computers more intelligent than we could imagine even a decade ago. Deep learning algorithms are being used across a broad range of industries to produce hardware like self-driving cars, personal assistant computers, and decision support systems. As the fundamental driver of AI, Java is becoming a more vital and valuable skill in the global economy, and this course will introduce you to using Java for deep learning.
- Access 20 lectures & 2 hours of content 24/7
- Install the environment precisely
- Use the DL4J & apply deep learning to a range of real-world use cases
- Get an introduction to neural networks & implementing them
- Learn about various deep learning algorithms
- Tune Apache Spark
Sercan Karaoglu gained his BSc in Mathematics Engineering at Istanbul Technical University. Karaoglu also completed a Research and Development project at age 23, at Foreks, in collaboration with The Scientific and Technological Research Council of Turkey(TUBITAK). This project was related to the application of Artificial Neural Networks in Financial Trading Decision Support Systems and Market Simulation for Intraday and Daily Trading.
Currently, he develops High Throughput-Low Latency Reactive Microservices and Reactive Stream applications at work and researches the topics of Deep Learning and Machine Learning. He is Java Software Engineer at the Dissemination Department of Foreks Information Systems, which is one of the leading IT companies in Turkey’s financial sector. It has specialized in software that is directly integrated with financial professionals and Istanbul Stock Market for over 26 years.
He is currently studying for his MSc in Computer Engineering at Bahcesehir University in the field of Big Data Analytics and Management.