Deep Learning

In this insightful volume from the MIT Press Essential Knowledge series, computer scientist John Kelleher provides a clear and comprehensive introduction to deep learning, the technology driving advancements in AI applications like computer vision and speech recognition. He outlines fundamental concepts, traces the history of the field, and discusses key architectures such as autoencoders and recurrent neural networks, along with modern innovations like Generative Adversarial Networks. Additionally, Kelleher explains the essential algorithms of deep learning, gradient descent and backpropagation, while contemplating future trends and challenges in the ever-evolving landscape of artificial intelligence.