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Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
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3 EXAMPLES WITH TensorFlow and Keras. Tools for deep learning. Imperative vs. Symbolic API. Example: Linear regression, Logistic regression and FCL.
Deep Learning with Images using Tensorflow - written by G. Janane , Dr. K. Meena Alias Jeyanthi published on 2019/10/07 download full article with reference data and citationsPython Machine Learning, 2nd Edition – ScanLibshttps://scanlibs.com/python-machine-learning-2ndEvery chapter has been critically updated, and there are new chapters on key technologies. You’ll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along…
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