Reviews
It seems that the era has become increasingly overflowing with information thanks to smartphones. These days, I truly feel the exponential increase in the flood of information that began when photos could be taken and immediately uploaded online. Since records of who is doing what are transmitted intact wherever you go in the world, it seems that who can effectively utilize data will be crucial in the future. Given that deep learning is the core technology behind this, I read this book with the
Compared to traditional systems that require precise and detailed input of given tasks into a computer to be solved, modern Artificial Intelligence demonstrates innovation by autonomously finding solutions from provided data. Deep learning—referring to computer algorithms and related middleware that play a central role in AI, which is applied extensively across fields ranging from computer programs and robots to biological domains like neuroscience and biotechnology—is said to exhibit thinking
Takeshi Fujita: Deep Learning with C++
To implement artificial intelligence, which has become a part of everyday language these days, one must study machine learning, and more specifically, deep learning, and narrow the scope to neural networks, which form the foundation of deep learning. While an AI speaker at home can turn the TV on or off if you say, “GiGA Genie, turn on the TV!”, it has not yet evolved to the point where it feels like a friend. The author, Takeshi Fujita, Director of the Technology Strategy Office at Excite Inc. (www.excite.co.jp) who is engaged in the development of machine learning-based products, definitively satisfies this thirst for deep learning through this book. The author states, “Neural networks, which form the basis of deep learning, are defined as algorithms that can be reproduced on a computer, based on simplified structures inspired by the electrical behavior of brain neurons,” and adds, “Recently, dedicated deep learning frameworks have been developed, including Google’s TensorFlow, UC Berkeley’s Caffe, the University of Montreal’s Theano, and Preferred Networks’ Chainer. These have lowered the barrier to entry, making it possible for general users to build services using deep learning.” The author emphasizes that basic theory must be learned for practical application and defines the readers of this book as beginners and software engineers seeking to learn the basics of deep learning.
Korean title: C++로 배우는 딥러닝
Korean author: 후지타 타케시
Korean publisher: 성안당
ISBN-13: 9788931555660
Reviews
It seems that the era has become increasingly overflowing with information thanks to smartphones. These days, I truly feel the exponential increase in the flood of information that began when photos could be taken and immediately uploaded online. Since records of who is doing what are transmitted intact wherever you go in the world, it seems that who can effectively utilize data will be crucial in the future. Given that deep learning is the core technology behind this, I read this book with the
Compared to traditional systems that require precise and detailed input of given tasks into a computer to be solved, modern Artificial Intelligence demonstrates innovation by autonomously finding solutions from provided data. Deep learning—referring to computer algorithms and related middleware that play a central role in AI, which is applied extensively across fields ranging from computer programs and robots to biological domains like neuroscience and biotechnology—is said to exhibit thinking
