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Dua Rajdeep. Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data

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Dua Rajdeep. Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
India: BPB Publications, 2022. — 421 p. — ISBN: 978-93-91392-222.
Mastering TensorFlow 2.x is a must to read and practice if you are interested in building various neural networks with high-level TensorFlow and Keras APIs. The book begins with the basics of TensorFlow and neural network concepts and goes into specific topics like image classification, object detection, time series forecasting, and Generative Adversarial Networks.
Getting Started with TensorFlow 2.x.
Machine Learning with TensorFlow 2.x.
Keras-Based APIs.
Convolutional Neural Networks.
Recurrent Neural Networks.
Time Series Forecasting with TensorFlow.
Distributed Training.
Reinforcement Learning.
Techniques to do Model Optimization.
Generative Adversarial Networks.
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