HIGHLIGHTS
SUMMARY
Deep learning is a popular artificial learning approach that is often used for developing complex predictive algorithms; using programmable layered structures known as neural_networks, deep learning models will process complex data to extract relevant features and learn from them, applying the learnt concepts to then make informed decisions. To alleviate some of this computational complexity, the approach of transfer learning is often adopted, where a neural_network that has been previously trained for a similar task is used as the base network for a new, related task that builds on the previously gained knowledge to . . .
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