الصفحة 1
الصفحة 1
Beginning deep learning with TensorFlow : Work with Keras, MNIST data sets, and advanced neural networks
Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! You will: Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications
Advances in web and network technologies, and information management ; APWeb/WAIM 2007 International Workshops : DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007, Proceedings
With the increasing ubiquity of personal computing devices, such as mobile phones and PDAs, and the increasing deployment of sensor networks, new distributed applications are developed over networked databases posing interesting challenges. It aimed to bring together researchers in different fields related to database management and application over networks and to provide a forum where researchers and practitioners could share and exchange their knowledge and experience.
Advances in Data and Web Management ; Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, Proceedings
The rapid prevalence of Web applications requires new technologies for the - sign, implementation and management of Web-based information systems, and for the management and analysis of information on the Web.This book drew research and industrial papers on the theory, design and implementation of Web-based information systems and on the m- agement and analysis of information on the Web.
