Introduction to Neural Networks with Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architect
请注意本书不是入门教程，一本面向中高级C++开发者的书，对于某些章节，例如AI的应用，最好有一定的基础才方便阅读。原书的内容概述如下。特别提示：本书各章节相对独立，可以分开阅读。 What’s Inside （The Art of C++) This book is different from most other books on C++. Whereas other books teach the basics of the language, this book shows how t
Audience What is all this machine learning stuff and who needs it? In a nutshell, machine learning is making sense of data. So if you have data you want to understand, this book is for you. If you want to get data and make sense of it, then this boo
Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively across many fields such as image recognition, robotics, search engines, and self-driving cars. In
This Code gives you an opportunity to apply neural network learning to the problem of face recognition. The program comes from Carnegie Mellon University. Interested parties are welcome to discuss and I would like to talk. mail:xyz529@hotmail.com
deep_dream_tensorflow An implement of google deep dream with tensorflow. Code can be found [here](https://github.com/hjptriplebee/deep_dream_tensorflow).Detailed descr iption can be found [here](http://blog.csdn.net/accepthjp/article/details/7788281
This book sets out to introduce people to important machine learning algorithms. Tools and applications using these algorithms are introduced to give the reader an idea of how they are used in practice today. A wide selection of machine learning boo
It is assumed that all readers have at least an elementary understanding of statistical or computer programming, specifically with respect to the R programming language. Those who do not will find it much more difficult to follow the sections of thi
Practical Artificial Intelligence (PAI) is a book that proposes a new model for learning. Most AI books deeply focus on theory and abandon practical problems that demonstrate the theory introduced throughout the book. In PAI we propose a model that
While the boom in computational power and better techniques led to an increase in interest in neural networks, we have also seen huge strides in usability. In particular, deep learning frameworks like TensorFlow, Theano, and Torch allow nonexperts t
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow
[英文原版 附随书代码]You will learn how to make informed decisions about the type of algorithms you need to use and how to implement those algorithms to get the best possible results. If you want to build versatile applications that can make sense of images,
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset tha
