Recent Advances in Deep Learning Applications by Uche Onyekpe (.ePUB)+

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File Size: 60.3 MB

Recent Advances in Deep Learning Applications: New Techniques and Practical Examples by Uche Onyekpe, Vasile Palade, M. Arif Wani
Requirements: .ePUB, .PDF reader, 60.3 MB
Overview: This book focuses on Deep Learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using Deep Learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. The models were coded in Python. The neural networks were designed using the Keras and Keras-RL libraries. Mathematical operations were performed with NumPy and Scikit-learn libraries. Visualizations were realized with Matplotlib and networkX. For natural language processing (NLP), we used SpaCy.
Genre: Non-Fiction > Tech & Devices

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