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.