{"product_id":"138331","title":"Learning AI Technology with Google Colab ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPCfEpLRz18FhrikVuv3gDNWBTDD.png?v=1765062239\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Learning AI Technology with Google Colab \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/145121404\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eOn the latest AI development platform\u003cbr\u003e Learn the fundamentals of machine learning, deep learning, and reinforcement learning!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book explains the artificial intelligence technologies required for AI development, focusing on deep learning.\u003cbr\u003e Additionally, it helps readers understand the structure of AI technology by practicing with the samples provided in the book. \u003cbr\u003eFor readers with programming experience or those looking to learn machine learning, deep learning, or reinforcement learning, this book will serve as a valuable guide!\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e To begin with\u003cbr\u003e For inquiries regarding the contents of this book\u003cbr\u003e About the operating environment and sample programs of this book sample\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 0 Introduction\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 0.1 for the first time\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 1: Overview of Artificial Intelligence and Deep Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.1 Overview of Artificial Intelligence\u003cbr\u003e 1.2 Examples of AI Applications\u003cbr\u003e 1.3 History of Artificial Intelligence\u003cbr\u003e 1.4 Chapter 1 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2 Development Environment\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 2.1 How to start Google Colaboratory\u003cbr\u003e 2.2 Sessions and Instances\u003cbr\u003e 2.3 CPU and GPU\u003cbr\u003e 2.4 Various features of Google Colaboratory\u003cbr\u003e 2.5 Chapter 2 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3: Python Basics\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 3.1 Python Basics\u003cbr\u003e 3.2 Numpy Basics\u003cbr\u003e 3.3 Matplotlib Basics\u003cbr\u003e 3.4 Pandas Basics\u003cbr\u003e 3.5 Practice\u003cbr\u003e 3.6 Example Answer\u003cbr\u003e 3.7 Conclusion of Chapter 3\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 4: Simple Deep Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 4.1 Overview of Deep Learning \u003cbr\u003e4.2 Simple Deep Learning Implementation\u003cbr\u003e 4.3 Various neural networks\u003cbr\u003e 4.4 Practice\u003cbr\u003e 4.5 Example Answer\u003cbr\u003e 4.6 Chapter 4 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 5: Theory of Deep Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 5.1 Fundamentals of Mathematics\u003cbr\u003e 5.2 Computation of a single neuron\u003cbr\u003e 5.3 Activation function\u003cbr\u003e 5.4 Forward and Backpropagation\u003cbr\u003e 5.5 Matrices and Matrix Multiplication\u003cbr\u003e 5.6 Calculation of floors\u003cbr\u003e 5.7 Fundamentals of Differentiation\u003cbr\u003e 5.8 Loss function\u003cbr\u003e 5.9 Gradient descent\u003cbr\u003e 5.10 Slope of the output layer\u003cbr\u003e 5.11 Slope of the middle layer\u003cbr\u003e 5.12 Epoch and Batch\u003cbr\u003e 5.13 Optimization Algorithms\u003cbr\u003e 5.14 Practice\u003cbr\u003e 5.15 Example Answer\u003cbr\u003e 5.16 Chapter 5 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 6: Various Machine Learning Methods\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 6.1 Regression\u003cbr\u003e 6.2 k averaging method\u003cbr\u003e 6.3 Support Vector Machines\u003cbr\u003e 6.4 Practice\u003cbr\u003e 6.5 Example Answer\u003cbr\u003e 6.6 Chapter 6 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 7 Convolutional Neural Networks (CNN)\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 7.1 Overview of CNN\u003cbr\u003e 7.2 Convolution and Pooling\u003cbr\u003e 7.3 im2col and col2im\u003cbr\u003e 7.4 Implementation of convolution\u003cbr\u003e 7.5 Implementation of Pooling\u003cbr\u003e 7.6 Implementation of CNN\u003cbr\u003e 7.7 Data Expansion\u003cbr\u003e 7.8 Practice\u003cbr\u003e 7.9 Chapter 7 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 8 Recurrent Neural Networks (RNNs)\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 8.1 Overview of RNNs\u003cbr\u003e 8.2 Implementation of a simple RNN\u003cbr\u003e 8.3 Overview of LSTM\u003cbr\u003e 8.4 Simple LSTM Implementation\u003cbr\u003e 8.5 GRU Overview\u003cbr\u003e 8.6 Simple implementation of GRU \u003cbr\u003e8.7 Automatic sentence generation using RNN\u003cbr\u003e 8.8 Overview of Natural Language Processing\u003cbr\u003e 8.9 Practice\u003cbr\u003e 8.10 Example Answer\u003cbr\u003e 8.11 Chapter 8 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 9 Variational Autoencoder (VAE)\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 9.1 Overview of VAE\u003cbr\u003e 9.2 Structure of VAE\u003cbr\u003e 9.3 Implementation of an Autoencoder\u003cbr\u003e 9.4 Implementation of VAE\u003cbr\u003e 9.5 For those who want to learn more about VAE\u003cbr\u003e 9.6 Practice\u003cbr\u003e 9.7 Chapter 9 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 10 Generative Adversarial Networks (GANs)\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 10.1 Overview of GANs\u003cbr\u003e 10.2 GAN Structure\u003cbr\u003e 10.3 GAN Implementation\u003cbr\u003e 10.4 For those who want to learn more about GANs\u003cbr\u003e 10.5 Practice\u003cbr\u003e 10.6 Example Answer\u003cbr\u003e 10.7 Chapter 10 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 11 Reinforcement Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 11.1 Overview of Reinforcement Learning\u003cbr\u003e 11.2 Algorithms for Reinforcement Learning\u003cbr\u003e 11.3 Overview of Deep Reinforcement Learning\u003cbr\u003e 11.4 Cart Pole Problem\u003cbr\u003e 11.5 Implementing Deep Reinforcement Learning\u003cbr\u003e 11.6 Controlling the Lunar Lander - Overview -\u003cbr\u003e 11.7 Controlling the Lunar Lander - Implementation -\u003cbr\u003e 11.8 Practice\u003cbr\u003e 11.9 Example answer\u003cbr\u003e 11.10 Chapter 11 Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 12 Transfer Learning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 12.1 Overview of Transfer Learning\u003cbr\u003e 12.2 Implementing Transfer Learning\u003cbr\u003e 12.3 Implementing Fine Tuning\u003cbr\u003e 12.4 Practice\u003cbr\u003e 12.5 Example answer\u003cbr\u003e 12.6 Chapter 12 Conclusion\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAppendix For those who want to learn more\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e AP-1-1 'AIRS-Lab'\u003cbr\u003e Introducing other books by the author of AP-1-2\u003cbr\u003e AP-1-3 NEWS! AIRS-Lab\u003cbr\u003e AP-1-4 Online Course\u003cbr\u003e AP-1-5 YouTube Channel\u003cbr\u003e AP-1-6 Author X, Instagram account\u003cbr\u003e\u003cbr\u003e finally\u003cbr\u003e Search\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eLearn various AI technologies using Google Colab!\u003cbr\u003e Updated to support the latest version of Google Colab!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Google Colaboratory, the foundation of this book, is a browser-based development environment for machine learning and deep learning. It offers free GPU access, significantly reducing code execution time.\u003cbr\u003e This book provides an easy way to learn the basics of AI using Google Colab.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eA textbook-worthy book on AI!\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eThrough this book, readers can acquire comprehensive knowledge and implementation skills about AI, the minimum Python and mathematical knowledge required for AI learning, and the ability to read and write machine learning code in Python.\u003cbr\u003e Ultimately, this is a book that helps develop problem-solving skills using AI.\u003cbr\u003e It will also be of great practical help to readers by staying true to the basics and showing in detail with code what needs to be covered. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e April 5, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 532 pages | 189*258*35mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791127462390\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1127462393 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893229781034,"sku":"138331","price":50.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/5ec53a7dfd9eb30618a78b6126768603.jpg?v=1765392851","url":"https:\/\/librairie.coreenne.fr\/en\/products\/138331","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}