To date, deep learning has been for advanced data scientists or researchers. Interest is surging thanks to the success of new use cases for neural networks such as tumour segmentation, speech recognition, image search engines and more. But how do you get started without a data science background?
Daniel will share his deep learning experience, giving a brief introduction to AI, explaining:
Daniel will explain how developers can approach the field of deep learning as a whole, giving advice on overcoming the most common challenges in data science to ensure a greater chance of project success in the future.
Experience in software engineering with an interest in starting a deep learning project.