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Ogawa Yutaro: Learning PyTorch Deep Learning by Doing

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From South Korea
In stock
Description

Deeping can solve various challenges if you define the input data and the loss function. The application of deep learning and pineapple tutoring has combined burn and pin-up, object detection, Simantic division, detailed estimates, background guesswork and vision detection of GAN, text data-based emotional analysis, and video data class. This book will help you to grow into a humane staff capable of implementing domain knowledge and deep-running, based on your job properties.

Korean title: 만들면서 배우는 파이토치 딥러닝

Korean author: 오가와 유타로

Korean publisher: 한빛미디어

ISBN-13: 9791162244609

Reviews

5.0
Based on 17 reviews
Showing 9 of 17 reviews
KK*****
November 22, 2021

First of all, the difficulty level. But it's easy to use. If you understand what it means to write with code-slain, it's fun to fix it a little bit.

NI*****
September 22, 2021

We believe that people with the Domenian Knowledge and Deeping Empower are essential to make a better world with the speed of technology's rapid Deeping technology. It seems that either of them is less important. If you can design and test and test your deep-down models with domain knowledge, you can create a system that will be optimal in the business field. The deep-down models that the book describes are based on the C.AT, which is at the time of writing, and since the point of the writing

PB*****
September 22, 2021

"A book review written in one light book for the activity of "I Am Reviewer.". "$$$1. Documentation of the book - Signed: Pictoch Deeping - Authors Who Learn From Making: Okawa Utah - Link 1. The post-book itself is very kind. From the one I personally hate most, the one that installs the environment. It's not a line of code, but it's a line. The Deeping Model, which the library introduces, is based on the C.T.S.A. at that point and has the advantage of accessing the latest technology. -2 or

NA********
September 22, 2021

In solving the problem with deep-downing, I would like to call it a real-life textbook based on a useful X2To-Tet for the ability to develop ideas, models, applications, or transformations of other researchers. We are learning the basics of deep-downs, DN, RN, and LSTM, and we think this book could be an alternative if it wasn't for the next step of domestic writing that we would like to take. If you want to develop a real-time application for a new problem or change-off, such as changing the

SI******
September 22, 2021

This book deals with a way to apply the basic knowledge of deep-diving. You can learn how to use this learning, you can use image groupings and detections, you know how to divide images, you have a detailed estimate, you're able to learn the data analysis of text and video categories.

JJ******
September 21, 2021

There is a difficulty in reading the Pitoch Deeping book. There are some primary-time books like Pitoch's first step, but the difficulty in the book tends to be too low or too high, and there is virtually no book that should be studied with progressive difficulty. In this case, the example is not inadequate to explain the basic learning models of deep-diving. But, as I mentioned at the outset, there is some difficulty in the book that means that there is not enough detailed explanation. The

SU*******
September 19, 2021

"A book written by the Ministry of Public Health, for the work of the "I Reviewer": this is not a deep-ing phrase, it's a deep - real-life application for the middle-class. Because basic deep-down knowledge learns to skip and use the same deep-diving algorithm, fundamental deep-link knowledge encourages early learning and coming through other books. The 12 models that this book deals with are:. The best possible explanation for burn taxage and pre-learning data is for the best possible example

HI*****
September 3, 2021

Pitoch is an open-source machine-muting library for Python. As you can see from the title "Diving Models for Making" by looking at Pitoch Deeping-12 Models, it's a deep-down model that is based on more than the middle-class of the subject and should be good enough to see the book. The book text contains one chapter of burn, two - parting, three - type division, four-th-symbolized, five-GBBs, more than-six GAN-used emotional analysis, eight-th chapter natural language processing, nine- video

TI******
August 19, 2021

We're dealing with some hard examples to start with, but it's actually a lot of help.

오가와 유타로: 만들면서 배우는 파이토치 딥러닝
12 items