Название: Deep Learning Applications, Volume 4
Автор: M. Arif Wani, Vasile Palade
Издательство: Springer
Серия: Advances in Intelligent Systems and Computing
Год: 2023
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB
Deep Learning systems, a class of multi-layered networks, are capable of automatically learning meaningful hierarchical representations from a variety of structured and unstructured data. Breakthroughs in Deep Learning (DL) allow us to generate new representations, extract knowledge, and draw inferences from raw images, video streams, text and speech, time series, and other complex data types. These powerful deep learning methods are being applied to new and exciting real-world problems in medical diagnostics, factory automation, public safety, environmental sciences, autonomous transportation, military applications, and much more. This book presents some applications of Deep Learning and includes novel architectures and Deep Learning techniques, which are described in fifteen chapters. Natural Language Processing (NLP) broadly describes the application of Computer Science and Machine Learning to natural language datasets, such as speech or text. The chapter "Language Models for Deep Learning Programming: A Case Study with Keras" explores the application of language models to programming languages and our work in constructing a dataset for the task. More particularly, we focus on the Keras programming language, a popular framework for implementing Deep Learning experiments.