Deep Learning with Python A Hands-on Introduction Authors: Ketkar, Nihkil Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the
This chapter covers the basics of TensorFlow, the deep learning framework. Deep learning does a wonderful job in pattern recognition, especially in the context of images, sound, speech, language, and time-series data. With the help of deep learning,
This book is for engineers, data analysts, and data scientists, interested in deep learning, and those looking to explore and implement advanced algorithms with PyTorch. Knowledge of machine learning is helpful but not mandatory. Knowledge of Python
作者：Microsoft Research AI首席科学家 - 邓力 俞栋 This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants.
Set up a fully functional Spark environment Understand practical machine learning and deep learning concepts Apply built-in machine learning libraries within Spark Explore libraries that are compatible with TensorFlow and Keras Explore NLP models su
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
