Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training artificial neural networks to learn and make decisions from large ...

In this course, we’ll examine the history of neural networks and state-of-the-art approaches to deep learning. Students will learn to design neural network architectures and training procedures via ...

as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models. With that mind ...

An AI machine learning architecture employed in "neural networks." Emerging in the 2010s, deep learning is used ... inference. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction ...

5 courses in: Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural ...