Intermediate Deep Learning With Transfer Learning

Deep Learning is a powerful tool for tackling Computer Vision (CV) and Natural Language Processing (NLP) problems. To use Deep Learning, the main steps are to set up a baseline and choose a backbone, decide on a batch size, and experiment with model complexity. Transfer Learning is also possible, which is enabled by researchers sharing their model checkpoints.