Artificial Intelligence And Deep Learning Essentials
DOWNLOAD
Download Artificial Intelligence And Deep Learning Essentials PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence And Deep Learning Essentials book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence And Deep Learning Essentials
DOWNLOAD
Author : James Russell
language : en
Publisher: Independently Published
Release Date : 2018-05-12
Artificial Intelligence And Deep Learning Essentials written by James Russell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-12 with categories.
Get to grips with the essentials of deep learning by leveraging the power of PythonKey Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications.What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who This Book Is For Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. Table of Contents 1. What is artificial intelligence 2. Why is the artificial intelligence important ? 3. Applications of Machine Learning 4. Semantics, Probability and IA 5. Numerical Computation 6. Sequence Modeling, Recurrent and Recursive Nets 7. Autoencoders 8. Markov Chains, Monte Carlo Methods, and Machine Learning
Deep Learning Essentials
DOWNLOAD
Author : Anurag Bhardwaj
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-30
Deep Learning Essentials written by Anurag Bhardwaj and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-30 with Computers categories.
Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book Description Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is for Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.
Generative Ai Deep Learning Essentials
DOWNLOAD
Author : Dr Sophia Anders
language : en
Publisher: Independently Published
Release Date : 2025-07-05
Generative Ai Deep Learning Essentials written by Dr Sophia Anders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-05 with Computers categories.
The Ultimate Generative AI Mastery Collection: 3 Books in 1 Learn ChatGPT, Deep Learning, and AI Tools Step by Step-No Tech Skills Needed Unlock the secrets of Artificial Intelligence with this complete, beginner-friendly guide to mastering the tools shaping our world. Inside this powerful collection, you'll discover: ✅ Generative AI Demystified: Learn how ChatGPT and other cutting-edge models work-and how you can harness them in your projects. ✅ Deep Learning Made Simple: Step-by-step tutorials that take you from perceptrons to convolutional and recurrent neural networks. ✅ Practical Hands-On Projects: Build real AI solutions for image recognition, sentiment analysis, and more, with ready-to-use Python examples. ✅ Professional Workflows: Master TensorFlow, PyTorch, Keras, and Scikit-Learn to create production-ready models. ✅ Ethics and Responsible AI: Understand how to build trustworthy systems that protect privacy and fairness. Whether you're a student, entrepreneur, or lifelong learner, this collection gives you the tools and confidence to excel in the AI-driven future. No coding background? No problem. Every concept is explained clearly-so you can start building real-world AI solutions today. Transform your skills. Future-proof your career. Discover what's possible with Generative AI. Scroll up and grab your copy now!
R Deep Learning Essentials
DOWNLOAD
Author : Mark Hodnett
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-24
R Deep Learning Essentials written by Mark Hodnett and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with Computers categories.
Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a range of datasets Book Description Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem. This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, anomaly detection, and recommendation systems. You’ll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics. By the end of this book, you will be fully prepared and able to implement deep learning concepts in your research work or projects. What you will learn Build shallow neural network prediction models Prevent models from overfitting the data to improve generalizability Explore techniques for finding the best hyperparameters for deep learning models Create NLP models using Keras and TensorFlow in R Use deep learning for computer vision tasks Implement deep learning tasks, such as NLP, recommendation systems, and autoencoders Who this book is for This second edition of R Deep Learning Essentials is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. Fundamental understanding of the R language is necessary to get the most out of this book.
Practical Artificial Intelligence
DOWNLOAD
Author : Christian Finlay
language : en
Publisher: Independently Published
Release Date : 2018-09-21
Practical Artificial Intelligence written by Christian Finlay and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with categories.
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, etc. Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
Ai Machine Learning Essentials For Absolute Beginners
DOWNLOAD
Author : Dr Israel Carlos Lomovasky
language : en
Publisher: Independently Published
Release Date : 2025-05-09
Ai Machine Learning Essentials For Absolute Beginners written by Dr Israel Carlos Lomovasky and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Unlock the Power of Artificial Intelligence - No Experience Needed! Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required. Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters. No prior experience required Real-life examples from 2025 and beyond Step-by-step machine learning project you can build today Covers ethics, careers, tools, policy, and the future of AI Includes both code and no-code solutions Whether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering. Start your AI journey today. The future belongs to those who understand it. Introduction: The AI Revolution - How Machines Learn Inspiring stories of AI in daily life The need for AI literacy in today's world Chapter 1: The AI Revolution - How Machines Learn AI applications you already use Why AI is transforming society Chapter 2: What is Artificial Intelligence? Definitions and history AI vs. ML vs. DL Types of AI systems Chapter 3: Fundamentals of Machine Learning Supervised, unsupervised, reinforcement learning Data, features, training/testing Chapter 4: Data and Algorithms How data powers AI What algorithms really are Real-world applications and common challenges Chapter 5: Tools of the Trade Python, Jupyter, Colab, scikit-learn, TensorFlow No-code platforms like Lobe, Teachable Machine Setting up your environment Chapter 6: Project - Build Your First Classifier A step-by-step beginner project Classify images using code or no-code tools Chapter 7: Deep Learning Made Simple Neural networks explained Use cases and model training basics Tools like Keras and PyTorch Chapter 8: AI in the Real World - Case Studies Healthcare, finance, transport, retail, agriculture Mini-stories from 2020-2025 Chapter 9: Ethical AI and Society Bias, fairness, transparency Regulation, privacy, accountability Chapter 10: AI for Everyone - Education and Policy AI in schools and careers National strategies and civic participation Chapter 11: The Road Ahead in AI Generative AI, quantum computing, edge AI Future trends, ethical horizons, and lifelong learning Appendices and Further Resources Glossary of AI terms No-code and coding tools Recommended books, courses, and datasets Public domain image sources About the Author Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
Artificial Intelligence Machine Learning And Deep Learning
DOWNLOAD
Author : Mark Howard
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-11-26
Artificial Intelligence Machine Learning And Deep Learning written by Mark Howard and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-26 with categories.
Have you ever wanted to learn how to better use your data? Are you interested in the works of machine learning? If you answered yes to these questions, then this book is for you. Artificial Intelligence, Machine Learning and Deep learning are powerful data tools that can help improve businesses. In this book, you will learn: Neural networks Machine learning How it relates to certain businesses What deep learning is Data handling Python and Machine Learning Examples of Machine Learning How Machine Learning is beneficial to you Learn about cognitive NLP Chatbots Learn about Cognitive NLP algorithms Discover about AI, deep learning, and Machine learning Understand the future AI solutions and adapt fast to them Computer vision Internet of Things Learn how recommender systems work Discover more about Robotics and Artificial intelligence. And much more Artificial Intelligence, Machine Learning and Deep learning are amazing tools when you want to use data in an effective manner. Data is important to many different areas in life, so it's important that you know how to use it. Don't let all of your data go to waste. Get this book today and improve the way your business works.
Deep Learning Fundamentals
DOWNLOAD
Author : Chao Pan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-06-15
Deep Learning Fundamentals written by Chao Pan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with categories.
This book is the first part of the book deep learning with Python write by the same author. If you already purchased deep learning with Python by Chao Pan no need for this book. Are you thinking of learning deep Learning fundamentals, concepts and algorithms? (For Beginners) If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, this book is for you. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations. Step By Step Guide and Visual Illustrations and Examples This book and the accompanying examples, you would be well suited to tackle problems, which pique your interests using machine learning and deep learning models. Instead of tough math formulas, this book contains several graphs and images. Book Objectives Have an appreciation for deep learning and an understanding of their fundamental principles. Have an elementary grasp of deep learning concepts and algorithms. Have achieved a technical background in deep learning and neural networks. Target Users The most suitable users would include: Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of machine learning. Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? Introduction Teaching Approach What is Artificial Intelligence, Machine Learning and Deep Learning? Mathematical Foundations of Deep Learning Machine Learning Fundamentals Fully Connected Neural Networks Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks Deep Reinforcement Learning Introduction to Deep Neural Networks with Keras Sources & References Frequently Asked Questions Q: Is this book for me and do I need programming experience?A: if you want to smash deep learning from scratch, this book is for you. No programming experience is required. The present only the fundamentals concepts and algorithms of deep learning. It ll be a good introduction for beginners.Q: Can I loan this book to friends?A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.Q: Does this book include everything I need to become a Machine Learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in Deep Learning and further learning will be required beyond this book to master all aspects.Q: Can I have a refund if this book is not fitted for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at [email protected].
Deep Learning For Beginners
DOWNLOAD
Author : Steven Cooper
language : en
Publisher: Roland Bind
Release Date : 2018-11-06
Deep Learning For Beginners written by Steven Cooper and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-06 with Computers categories.
☆★The Best Deep Learning Book for Beginners★☆ If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley. This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. ★★ Grab your copy today and learn ★★ ♦ Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. ♦ The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. ♦ The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. ♦ The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. ♦ And much more... The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow. This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch. When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in? If you want to get started on deep learning and the concepts that run artificial technologies, don't wait any longer. Scroll up and click the buy now button to get this book today!
Ai And Deep Learning Fundamentals
DOWNLOAD
Author : Balaanand Muthu
language : en
Publisher:
Release Date : 2023-11-30
Ai And Deep Learning Fundamentals written by Balaanand Muthu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Computers categories.
Welcome to the world of AI and Deep Learning! This book is a culmination of years of research, innovation, and practical insights into the fascinating realms of artificial intelligence and deep learning. In this rapidly evolving landscape, the convergence of neuroscience, mathematics, and computer science has sparked a revolution, redefining how machines perceive, learn, and interact with the world. As you embark on this educational journey, you'll delve into the foundational principles that underpin these technologies, unraveling complex concepts in a lucid and accessible manner. Whether you're an aspiring data scientist, a curious enthusiast, or a seasoned professional seeking to expand your knowledge, this book aims to equip you with a solid understanding of AI and deep learning essentials, empowering you to navigate the frontiers of innovation and contribute meaningfully to this transformative field. In this comprehensive guide, we traverse the landscape of artificial intelligence and deep learning, demystifying intricate theories and methodologies. From the fundamentals of neural networks to the practical applications in image recognition, natural language processing, and beyond, each chapter is meticulously crafted to provide a holistic view of these cutting-edge technologies. With a blend of theoretical foundations, real-world examples, and hands-on exercises, this book is designed to foster a deep comprehension of the core concepts while igniting your creativity to explore and innovate. Join us on this immersive journey, where you'll not only grasp the essence of AI and deep learning but also cultivate the skills to create intelligent systems that can revolutionize industries, redefine possibilities, and shape the future.