Data scientists and artificial intelligence (AI) researchers require accuracy, simplicity, and speed for deep learning success. Faster training and iteration ultimately mean faster innovation and faster time to market.

Today's deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification. Deep learning systems with NVIDIA GPUs offer several advantages: Accelerated DNN and Training Performance, Fast AI Application Development and GPUs built for deep learning.

• Recent technological advancements in the fields of Deep Learning, Machine Learning and Advanced Data Analytics

• The anatomy of a typical AI project using Jetson Nano

• Recipe for setting up a successful AI practice in an organization

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