IBM Watson的技术实现详解 IBM Watson是认知计算系统的杰出代表，也是一个技术平台。认知计算代表一种全新的计算模式，它包含信息分析，自然语言处理和机器学习领域的大量技术创新，能够助力决策者从大量非结构化数据中揭示非凡的洞察。Watson 在美国最受欢迎的智力问答电视节目《危险边缘》(Jeopardy)中亮相，一举打败了人类智力竞赛冠军。如今，Watson 已经发展为一个商业化、基于云的认知系统，应用到各行各业中。 This is Watson IBM Research took
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
With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conventional optimization algorithms rely on stochastic gradient methods th
In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Dee
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preser
Understanding Learning Rates and How It Improves Performance in Deep Learning This post is an attempt to document my understanding on the following topic: What is the learning rate? What is it’s signibcance? How does one systematically arrive at a g
