But the program is also structured to train those from other backgrounds who are motivated to transition into the ever-expanding world of artificial intelligence. Explainable AI is a set of tools and frameworks that helps you understand and interpret the internal logic behind the predictions made by a deep learning network. With this, you can generate insights into the behavior and working of the model to mitigate issues around it in the development phase.
AI Learning in the Digital Campus
(This is a common quote from our students. We even just helped someone score a senior ML role at Nvidia after taking these same courses). These tools are the building blocks of modern AI models and will give you an understanding of Deep Learning. From collecting a dataset, to refining model architectures, to performing transfer learning on pre-trained models to custom domains to ensuring that their models can run on specific hardware. Due to the probabilistic nature of the models, their outputs can’t be guaranteed so they must be continually checked and refined.
