عنوان
پدید آورنده
موضوع
رده
Q335 .R684 2018
Q335
.
R684
2018
کتابخانه
محل استقرار
شابک
شابک
1788990021
شابک
1788990544
شابک
9781788990028
شابک
9781788990547
شابک اشتباه
9781788990547
عنوان و نام پديدآور
عنوان اصلي
Artificial intelligence by example :
نام عام مواد
[Book]
ساير اطلاعات عنواني
develop machine intelligence from scratch using real artificial intelligence use cases /
نام نخستين پديدآور
Denis Rothman.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Birmingham :
نام ناشر، پخش کننده و غيره
Packt Publishing,
تاریخ نشرو بخش و غیره
[2018]
تاریخ نشرو بخش و غیره
©2018
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (xi, 458 pages)
يادداشت کلی
متن يادداشت
Using TensorBoard to explain the concept of classifying customer products to a CEO.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references, webology and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Become an Adaptive Thinker; Technical requirements; How to be an adaptive thinker; Addressing real-life issues before coding a solution; Step 1 -- MDP in natural language; Step 2 -- the mathematical representation of the Bellman equation and MDP; From MDP to the Bellman equation; Step 3 -- implementing the solution in Python; The lessons of reinforcement learning; How to use the outputs; Machine learning versus traditional applications; Summary; Questions; Further reading.
متن يادداشت
Chapter 2: Think like a MachineTechnical requirements; Designing datasets -- where the dream stops and the hard work begins; Designing datasets in natural language meetings; Using the McCulloch-Pitts neuron ; The McCulloch-Pitts neuron; The architecture of Python TensorFlow; Logistic activation functions and classifiers; Overall architecture; Logistic classifier; Logistic function; Softmax; Summary; Questions; Further reading; Chapter 3: Apply Machine Thinking to a Human Problem; Technical requirements; Determining what and how to measure; Convergence; Implicit convergence.
متن يادداشت
Numerical -- controlled convergenceApplying machine thinking to a human problem; Evaluating a position in a chess game; Applying the evaluation and convergence process to a business problem; Using supervised learning to evaluate result quality; Summary; Questions; Further reading; Chapter 4: Become an Unconventional Innovator; Technical requirements; The XOR limit of the original perceptron; XOR and linearly separable models; Linearly separable models; The XOR limit of a linear model, such as the original perceptron; Building a feedforward neural network from scratch.
متن يادداشت
Step 1 -- Defining a feedforward neural networkStep 2 -- how two children solve the XOR problem every day; Implementing a vintage XOR solution in Python with an FNN and backpropagation; A simplified version of a cost function and gradient descent; Linear separability was achieved; Applying the FNN XOR solution to a case study to optimize subsets of data; Summary; Questions; Further reading; Chapter 5: Manage the Power of Machine Learning and Deep Learning; Technical requirements; Building the architecture of an FNN with TensorFlow.
متن يادداشت
Writing code using the data flow graph as an architectural roadmapA data flow graph translated into source code; The input data layer; The hidden layer; The output layer; The cost or loss function; Gradient descent and backpropagation; Running the session; Checking linear separability; Using TensorBoard to design the architecture of your machine learning and deep learning solutions; Designing the architecture of the data flow graph; Displaying the data flow graph in TensorBoard; The final source code with TensorFlow and TensorBoard; Using TensorBoard in a corporate environment.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Packt Publishing
شماره انبار
9781788990028
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Application software-- Development.
موضوع مستند نشده
Artificial intelligence-- Data processing.
موضوع مستند نشده
Cloud computing.
موضوع مستند نشده
Python (Computer program language)
موضوع مستند نشده
Application software-- Development.
موضوع مستند نشده
Artificial intelligence-- Data processing.
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Cloud computing.
موضوع مستند نشده
Computers-- Intelligence (AI) & Semantics.
موضوع مستند نشده
Computers-- Machine Theory.
موضوع مستند نشده
Computers-- Neural Networks.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Mathematical theory of computation.
موضوع مستند نشده
Neural networks & fuzzy systems.
موضوع مستند نشده
Python (Computer program language)
مقوله موضوعی
موضوع مستند نشده
COM-- 004000
رده بندی ديویی
شماره
006
.
3
ويراست
23
رده بندی کنگره
شماره رده
Q335
نشانه اثر
.
R684
2018
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Rothman, Denis
مبدا اصلی
تاريخ عمليات
20200823060520.0
قواعد فهرست نويسي ( بخش توصيفي )
pn
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
