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TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skill hands-on as you create production-ready applications such as a French-to-English translator and a neural network that can write fiction. You’ll appreciate the in-depth explanations that go from DL basics to advanced applications in NLP, image processing, and MLOps, complete with important details that you’ll return to reference over and over.
What's inside
Covers TensorFlow 2.9
Recent algorithms including transformers, attention models, and ElMo
Build on pretrained models
Writing end-to-end data pipelines with TFX
About the reader
For Python programmers with basic deep learning skills