عنوان
پدید آورنده
موضوع
رده
Q335 .R684 2018
Q335
.
R684
2018
کتابخانه
محل استقرار
1788990021
1788990544
9781788990028
9781788990547
9781788990547
Artificial intelligence by example :
[Book]
develop machine intelligence from scratch using real artificial intelligence use cases /
Denis Rothman.
Birmingham :
Packt Publishing,
[2018]
©2018
1 online resource (xi, 458 pages)
Using TensorBoard to explain the concept of classifying customer products to a CEO.
Includes bibliographical references, webology and index.
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.
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.
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.
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.
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.
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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.
Packt Publishing
9781788990028
Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases.
Application software-- Development.
Artificial intelligence-- Data processing.
Cloud computing.
Python (Computer program language)
Application software-- Development.
Artificial intelligence-- Data processing.
Artificial intelligence.
Cloud computing.
Computers-- Intelligence (AI) & Semantics.
Computers-- Machine Theory.
Computers-- Neural Networks.
Machine learning.
Mathematical theory of computation.
Neural networks & fuzzy systems.
Python (Computer program language)
COM-- 004000
006
.
3
23
Q335
.
R684
2018
Rothman, Denis
20200823060520.0
pn
مطالعه متن کتاب [Book]
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