Deep Learning with TensorFlow (e-book)

Deep Learning with TensorFlow (e-book) - Opis

Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. Throughout the book, you’ll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way.You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects. Spis treści: 1. Getting Started with Deep Learning2. A First Look at TensorFlow3. Feed-Forward Neural Networks with TensorFlow4. Convolutional Neural Networks5. Optimizing TensorFlow Autoencoders6. Recurrent Neural Networks7. Heterogeneous and Distributed Computing8. Advanced TensorFlow Programming9. Recommendation Systems using Factorization Machines10. Reinforcement Learning