TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models with very high accuracy. This book is your guide to mastering deep learning with TensorFlow with the help of 12 real-world projects.
TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. You'll learn to train different types of deep learning models using TensorFlow, including CNNs, RNNs, LSTMs, and generative adversarial networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, enterprise AI, and natural language processing, to name a few. You'll train high-performance models to generate captions for images automatically, predict the performance of stocks, and create intelligent chatbots. Some advanced aspects, such as recommender systems and reinforcement learning, are also covered in this book.
By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow to tackle any kind of problem.
