Kuntal Ganguly是一位大数据分析工程师，其利用机器学习和大数据框架来搭建大规模数据驱动系统。Kuntal具有7年的大数据和机器学习应用构建经验。 Kuntal为云上客户提供搭建实时分析系统的解决方案。这其中利用到了托管式的云服务和开源Hadoop生态系统工具，诸如Spark、Kafka、Storm、Solr以及机器学习和深度学习框架。 Kuntal也喜欢亲自动手参与软件的开发过程，并且曾经独自一人完成了多个大规模分布式应用从构思、架构、开发一直到部署的整个过程。他也是一位机器学习和深度学习的从业者，十分热衷于构建智能应用。

Summary GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks. Purchase of the print book includes a free eBoo...(展开全部)

http://neuralnetworksanddeeplearning.com/

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks wor...(展开全部)

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks wor...(展开全部)

http://neuralnetworksanddeeplearning.com/

高中边缘人柠宁不知道为何连续做了一个月的噩梦 无一例外，梦都是那一个场景，黑白交加，杂乱无章，到了现实，她再次被引导到那个世界…

高中边缘人柠宁不知道为何连续做了一个月的噩梦 无一例外，梦都是那一个场景，黑白交加，杂乱无章，到了现实，她再次被引导到那个世界…

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the dua...(展开全部)

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Refocused, revised and renamed to reflect the dua...(展开全部)