【文件属性】：
文件名称：Pro Deep Learning with TensorFlow
文件大小：12.2MB
文件格式：ZIP
更新时间：2021-01-03 15:05:08
Deep Learning TensorFlow
Pro Deep Learning with TensorFlow is a practical and mathematical guide to deep learning using
TensorFlow. Deep learning is a branch of machine learning where you model the world in terms of a
hierarchy of concepts. This pattern of learning is similar to the way a human brain learns, and it allows
computers to model complex concepts that often go unnoticed in other traditional methods of modeling.
Hence, in the modern computing paradigm, deep learning plays a vital role in modeling complex real-world
problems, especially by leveraging the massive amount of unstructured data available today.
Because of the complexities involved in a deep-learning model, many times it is treated as a black box
by people using it. However, to derive the maximum benefit from this branch of machine learning, one
needs to uncover the hidden mystery by looking at the science and mathematics associated with it. In this
book, great care has been taken to explain the concepts and techniques associated with deep learning from a
mathematical as well as a scientific viewpoint. Also, the first chapter is totally dedicated toward building the
mathematical base required to comprehend deep-learning concepts with ease. TensorFlow has been chosen
as the deep-learning package because of its flexibility for research purposes and its ease of use. Another
reason for choosing TensorFlow is its capability to load models with ease in a live production environment
using its serving capabilities.
In summary, Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can
learn deep learning from scratch and deploy meaningful deep-learning solutions. This book will allow you
to get up to speed quickly using TensorFlow and to optimize different deep-learning architectures. All the
practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be
able to use the prototypes demonstrated to build new deep-learning applications. The code presented in the
book is available in the form of iPython notebooks and scripts that allow you to try out examples and extend
them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge
to pursue research in this field and give back to the community.
【文件预览】：
Pro Deep Learning with TensorFlow_A Mathematical Approach to Advanced Artificial Intelligence in Python-Apress(2017).pdf