Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
by Magnus Ekman
Learning Deep Learning presents an accessible path into neural networks, combining foundational theory with practical work in TensorFlow. Magnus Ekman covers key areas of modern deep learning, including computer vision, natural language processing, and transformers, making the book a useful guide to both concepts and applications.
About This Book
Learning Deep Learning introduces the theory and practice of neural networks through a focused, application-oriented approach.
The book uses TensorFlow as its practical framework, connecting core concepts with implementation.
Its coverage includes computer vision, natural language processing, and transformers.
Designed for readers seeking a broad foundation, it brings together essential ideas and hands-on perspectives in modern deep learning.
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