- xi, 336 pages : illustrations ; 24 cm.
- "Learning made easy"--Cover.Contents: Getting to know TensorFlow. Introducing machine learning with TensorFlow ; Getting your feet wet ; Creating tensors and operations ; Executing graphs in sessions ; Training -- Implementing machine learning. Analyzing data with statistical regression ; Introducing neural networks and deep learning ; Classifying images with convolutional neural networks (CNNs) ; Analyzing sequential data with recurrent neural networks (RNNs) -- Simplifying and accelerating TensorFlow. Accessing data with datasets and iterators ; Using threads, devices, and clusters ; Developing applications with estimators ; Running applications on the Google cloud platform (GCP) -- The part of tens. The ten most important classes ; Ten recommendations for training neural networks.Includes index.Summary: Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you'll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning--all without ever losing your cool!