In this workshop, you will learn how deep learning works through hands-on exercises in popular artificial intelligence areas namely Computer Vision (CV) and Natural Language Processing (NLP). You will train deep learning models from scratch, learn tools and tricks to achieve highly accurate results by working on binary, multi-class, and text generation scenarios. You will also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly through Transfer Learning. Other core concepts of learning include Data Augmentation, Feature Extraction, Fine Tuning, Embeddings, and loss functions.

Upon successful completion of the workshop and assessment, attendees will receive an NVIDIA DLI certificate to recognise their subject matter competency and support professional career growth. 

The workshop material can be accessed anywhere, anytime with a fully configured, GPU-accelerated workstation in the cloud.

To check out the DLI sample Workshop experience,  Watch this Video.

• All attendees need to prepare for the workshop by creating an NVIDIA account, testing their laptop, and carefully reviewing the course datasheet to become familiar with Prerequisites, Learning Objectives, and Agenda Outline at  https://developer.nvidia.com/dli/getready
• An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line. Suggested materials to satisfy prerequisites: Python Beginner’s Guide
• Technologies: Tensorflow 2 with Keras, Pandas