Artificial Intelligence has made leaps and bounds in the past few years. Deep Learning, one of the most important driving forces of this AI revolution has become an essential technique to tackle complex challenges such as Computer Vision, Natural Language Processing, and Voice Recognition. In this course, you will learn the essential tools and skills required to apply DL to real-life problems.
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We understand that there are theoretical underpinnings to cover. Most importantly, we know that we need to head beyond the classroom to truly work in this field. For example, by rolling up our sleeves and finding a way to package our work, tuning and molding a model to different setups, whether they be predictions with a CPU, an industrial-grade embedded system, or a beefy datacenter GPU like the A100.
In this advanced program, you will learn deep learning techniques and use cases in computer vision and NLP.
The Applied Deep Learning course is developed for data scientists who want to up-skill themselves or students and professionals who want to learn applied AI techniques for a career transition. It prepares learners with the necessary theoretical and technical foundations before getting more specialized. Students are required to have python and basic machine learning knowledge before enrolling in this course.
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