XENON Systems partners with NVIDIA Deep Learning Institute (DLI) to offer hands-on training for developers, data scientists and researchers looking to solve real-world problems with deep learning.
Deep learning is used in the research community and in the industry to help solve big data problems such as computer vision, speech recognition and natural language processing. Practical examples include:
- Vehicle, pedestrian and landmark identification for driver assistance
- Image recognition
- Speech recognition and translation
- Natural language processing
- Life sciences
Why deep learning is so popular and in demand
Deep learning is popular right now because it is easy and it works.
Traditional machine learning uses handwritten feature extraction and modality-specific machine learning algorithms to label images or recognise voices. That is a lot of work, and you need to be a machine learning expert!!!
Today’s advanced deep neural networks use algorithms, big data and the computational power of the GPU to change this dynamic. You do not need to be an expert to get started with deep learning. All you need is data.
Learn More about NVIDIA’s DLI courses.