Mastering TensorFlow 1.x

With Mastering TensorFlow 1.x, build, deploy, and scale end-to-end deep neural network models in a production environment
Learn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and Kubernetes. (Limited-time offer)

Book Description

Topics included: Introduction to OpenCV and Qt • TensorFlow 101 • High-Level Libraries for TensorFlow • Keras 101 • Classical Machine Learning with TensorFlow • Neural Networks and MLP with TensorFlow and Keras • RNN with TensorFlow and Keras • RNN for Time Series Data with TensorFlow and Keras • RNN for Text Data with TensorFlow and Keras • CNN with TensorFlow and Keras • Autoencoder with TensorFlow and Keras • TensorFlow Models in Production with TF Serving • Transfer Learning and Pre-Trained Models • Deep Reinforcement Learning • Generative Adversarial Networks • Distributed Models with TensorFlow Clusters • TensorFlow Models on Mobile and Embedded Platforms • TensorFlow and Keras in R • Debugging TensorFlow Models • Tensor Processing Units

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