Learning TensorFlow: A Guide to Building Deep Learning Systems
by Tom Hope, Yehezkel S. Resheff, Itay Lieder
A practical guide to building deep learning systems with TensorFlow, covering core concepts and techniques for constructing and training neural networks.
About This Book
Learning TensorFlow provides an introduction to deep learning using the TensorFlow framework.
The book covers core concepts and practical approaches for building machine learning systems.
Readers explore techniques for constructing and training neural networks with TensorFlow.
The content is designed to support both beginners and those expanding their skills in deep learning.
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