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- Deep Learning avec Keras et TensorFlow - 2e éd. - Mise en oeuvre et cas concrets: Mise en oeuvre et cas concrets
Deep Learning avec Keras et TensorFlow - 2e éd. - Mise en oeuvre et cas concrets: Mise en oeuvre et cas concrets
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Deep Learning avec Keras et TensorFlow - 2e éd. - Mise en oeuvre et cas concrets: Mise en oeuvre et cas concrets
Deep Learning with TensorFlow 2 is a comprehensive guide that will teach you everything you need to know about deep learning, including how to build and train neural networks using TensorFlow 2.
With this book, you'll learn how to construct and form numerous network architectures for classification and regression, as well as detect objects, segmentation semantics, attention mechanisms, language models, generative adversarial networks, and more.
You'll also explore the Keras API, the official high-level API for TensorFlow 2, and learn how to produce TensorFlow models using TF Data, TF Transform, the distribution strategy API, and TF Serving.
Plus, you'll discover how to deploy your models on Google Cloud AI or mobile devices.
And, with the included Reinforcement Learning examples, you'll learn how to create autonomous learning agents.
This book is a must-have for anyone looking to master deep learning with TensorFlow 2.
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