In recent years, the application of deep learning has demonstrated significant progress in various scientific subfields. Compared to other cutting-edge methods of processing and analysing images, deep learning algorithms performed significantly better. When applied in areas such as self-driving cars, where deep learning has been utilized, and the results are the best and most up-to-date currently available. In some situations, such as recognizing objects and playing games, deep learning performed significantly better than people did. One more industry that appears to have a lot to gain from deep learning is the medical field. There are a lot of patient records and data, and providing individualized care to each patient is becoming an increasingly important priority as a result. This indicates an immediate need for methods that are both efficient and reliable for processing and analyzing health informatics.

Keywords: Deep learning, MRI, DNN, Brain Tumour.

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