Deep learning to identify Malaria cells using CNN on Kaggle

Deep learning has vast ranging applications and its application in the healthcare industry always fascinates me. As a keen learner and a Kaggle noob, I decided to work on the Malaria Cells dataset to get some hands-on experience and learn how to work with Convolutional Neural Networks, Keras and images on the Kaggle platform. One of the many things I like about Kaggle is the immense knowledge it holds in the form of Kernels and Discussions. Taking cues and references from various kernels and experts really helped me get better at producing highly accurate results. Do look at other kernels and understand their approach to gain more insights for your own development and knowledge building.