Hands On Python With Fastai
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Hands On Python With Fastai
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Author : SARFUL. HASSAN
language : en
Publisher: Independently Published
Release Date : 2025-02-10
Hands On Python With Fastai written by SARFUL. HASSAN and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.
Learn Python and Deep Learning with Fastai - A Beginner's Guide to Building AI Models Are you looking to learn deep learning and artificial intelligence using Python and Fastai? Whether you're a beginner in machine learning or looking to strengthen your skills, "Hands-On Python with Fastai: A Practical Guide for Beginners" is the perfect resource to get started with Python programming and machine learning models. Inside this comprehensive guide, you'll discover: Python for Machine Learning: Master the basics of Python and its key libraries for machine learning, including NumPy, Pandas, and Matplotlib. Fastai Deep Learning Library: Learn how to use Fastai for building powerful and easy-to-train deep learning models for various tasks like image classification, text analysis, and time series forecasting. Hands-On Projects: Work through real-world projects such as image classification, sentiment analysis, and customer churn prediction, and understand how to implement them using Fastai. Transfer Learning and Fine-Tuning: Discover how to leverage pretrained models to improve the accuracy of your deep learning models and speed up your training time. Model Deployment: Learn how to export your trained models for real-world applications using Flask and FastAPI, and deploy them for AI-powered applications. With step-by-step instructions and practical examples, this book will help you become proficient in machine learning and artificial intelligence-no prior experience required. By the end, you'll be confident in using Fastai and Python to create your own AI models and start solving complex problems. Why choose this book? Beginner-Friendly: Learn at your own pace with clear explanations and easy-to-follow examples. Real-World Focus: Practical, hands-on projects help you gain valuable experience. Comprehensive Coverage: Covers everything from the basics of Python to advanced deep learning techniques. If you're ready to dive into AI development and deep learning with Fastai, this book is your ideal starting point. Unlock the power of machine learning with Python and Fastai today!
Hands On Python Deep Learning For The Web
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Author : Anubhav Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-05-15
Hands On Python Deep Learning For The Web written by Anubhav Singh 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 2020-05-15 with Computers categories.
Use the power of deep learning with Python to build and deploy intelligent web applications Key FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and DjangoImplement deep learning algorithms and techniques for performing smart web automationIntegrate neural network architectures to create powerful full-stack web applicationsBook Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learnExplore deep learning models and implement them in your browserDesign a smart web-based client using Django and FlaskWork with different Python-based APIs for performing deep learning tasksImplement popular neural network models with TensorFlow.jsDesign and build deep web services on the cloud using deep learningGet familiar with the standard workflow of taking deep learning models into productionWho this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Python Simplified With Generative Ai
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Author : Duc T. Haba
language : en
Publisher: BPB Publications
Release Date : 2025-04-25
Python Simplified With Generative Ai written by Duc T. Haba and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
DESCRIPTION GenAI and Python are changing how we use technology, making it essential to understand both to stay innovative and work efficiently. GenAI significantly impacts learning Python by generating personalized code snippets, accelerating the learning process. This book bridges the gap between traditional education and the practical challenges students encounter today. It combines hands-on learning with modern GenAI tools like GPT-4 and Copilot. The book begins with fundamental GenAI concepts, including GPT-4 and Gemini, and mastering prompt engineering for optimal GenAI interaction. Instead of starting with technical details like algorithms and syntax, it introduces coding through interactive, practical Python Jupyter Notebooks and Google Colab projects. Readers will learn Python code with a calculator application, explore fundamental sorting algorithms, and manipulate data using Pandas. The book then explores advanced ML through CNN image classification with Fast.ai, and deploying AI models as web applications using Hugging Face and Gradio. It also addresses critical ethical considerations in AI, focusing on fairness and bias, and provides career guidance for modern programmers. Moreover, this book takes a fresh approach to learning by prioritizing exploration and creativity, much like the way Gen Z engage with games, apps, and hands-on activities. By the end of this book, you will be equipped with the practical skills and ethical understanding to confidently apply Python and GenAI in diverse projects, helping you navigate the evolving landscape of AI-driven development. WHAT YOU WILL LEARN ● Write and debug Python code through hands-on projects. ● Learn GenAI setup, and effective prompt engineering. ● Step-by-step Python projects using Jupyter Notebooks and GenAI. ● Deploy AI models as interactive web applications using Hugging Face and Gradio frameworks. ● Leverage GenAI tools like GPT-4 and Copilot. ● Understand AI bias and use it responsibly for positive impact. WHO THIS BOOK IS FOR This book is for professionals interested in learning Python and using GenAI tools like GPT-4 in practical applications. It is for aspiring programmers, students, and data analysts seeking practical Python and GenAI skills. TABLE OF CONTENTS 1. Introduction to GenAI 2. Jupyter Notebook 3. Dissect The Calculator App 4. Sorting on My Mind 5. Pandas, the Data Tamer 6. Decipher CNN App 7. Gradio and Hugging Face Deployment 8. Fairness and Bias 9. Your Turn to Be a Code Walker
Hands On Generative Adversarial Networks With Pytorch 1 X
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Author : John Hany
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-12-12
Hands On Generative Adversarial Networks With Pytorch 1 X written by John Hany 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 2019-12-12 with Computers categories.
Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key FeaturesImplement GAN architectures to generate images, text, audio, 3D models, and moreUnderstand how GANs work and become an active contributor in the open source communityLearn how to generate photo-realistic images based on text descriptionsBook Description With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples. This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models. By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems. What you will learnImplement PyTorch's latest features to ensure efficient model designingGet to grips with the working mechanisms of GAN modelsPerform style transfer between unpaired image collections with CycleGANBuild and train 3D-GANs to generate a point cloud of 3D objectsCreate a range of GAN models to perform various image synthesis operationsUse SEGAN to suppress noise and improve the quality of speech audioWho this book is for This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You’ll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming language is necessary to grasp the concepts covered in this book.
The Beginner S Guide To Agentic Ai
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Author : Growproin
language : en
Publisher: Growproin
Release Date : 2025-02-11
The Beginner S Guide To Agentic Ai written by Growproin and has been published by Growproin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
Artificial Intelligence (AI) is evolving rapidly, and the next major breakthrough is here—Agentic AI. Unlike traditional AI models that rely on human input, Agentic AI can perceive, reason, act, and learn autonomously, making decisions with minimal human oversight. This revolutionary form of AI is reshaping industries, optimizing automation, and driving intelligent decision-making across business, healthcare, finance, and technology. What You’ll Learn in This Book: The Core Principles of Agentic AI – How it differs from rule-based AI, machine learning, and generative AI. The Three Waves of AI Evolution – From symbolic AI to full autonomy and proactive AI decision-making. How Agentic AI Uses Big Data – Enhancing real-time analytics, automation, and business intelligence. AI-Powered Business & Automation – How AI is transforming finance, customer service, and operations. Ethical Challenges & AI Governance – Addressing AI bias, transparency, and regulatory frameworks. Industry Trends & Future AI Innovations – How AI is shaping smart cities, cybersecurity, and scientific discovery. Career Growth & Wealth Creation with AI – AI-driven job opportunities, investments, and entrepreneurship. Hands-On AI Project Ideas – Real-world AI capstone projects and research applications.
Deep Learning With Fastai Cookbook
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Author : Mark Ryan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-24
Deep Learning With Fastai Cookbook written by Mark Ryan 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 2021-09-24 with Computers categories.
Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key FeaturesDiscover how to apply state-of-the-art deep learning techniques to real-world problemsBuild and train neural networks using the power and flexibility of the fastai frameworkUse deep learning to tackle problems such as image classification and text classificationBook Description fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems. The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai. By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models. What you will learnPrepare real-world raw datasets to train fastai deep learning modelsTrain fastai deep learning models using text and tabular dataCreate recommender systems with fastaiFind out how to assess whether fastai is a good fit for a given problemDeploy fastai deep learning models in web applicationsTrain fastai deep learning models for image classificationWho this book is for This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book.
Hands On Generative Ai With Transformers And Diffusion Models
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Author : Omar Sanseviero
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-11-22
Hands On Generative Ai With Transformers And Diffusion Models written by Omar Sanseviero and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. Build and customize models that can generate text and images Explore trade-offs between using a pretrained model and fine-tuning your own model Create and utilize models that can generate, edit, and modify images in any style Customize transformers and diffusion models for multiple creative purposes Train models that can reflect your own unique style
Practical Data Science With Python
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Author : Nathan George
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-30
Practical Data Science With Python written by Nathan George 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 2021-09-30 with Computers categories.
Learn to effectively manage data and execute data science projects from start to finish using Python Key FeaturesUnderstand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modelingBuild a strong data science foundation with the best data science tools available in PythonAdd value to yourself, your organization, and society by extracting actionable insights from raw dataBook Description Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science. The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion. As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments. By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source. What you will learnUse Python data science packages effectivelyClean and prepare data for data science work, including feature engineering and feature selectionData modeling, including classic statistical models (such as t-tests), and essential machine learning algorithms, such as random forests and boosted modelsEvaluate model performanceCompare and understand different machine learning methodsInteract with Excel spreadsheets through PythonCreate automated data science reports through PythonGet to grips with text analytics techniquesWho this book is for The book is intended for beginners, including students starting or about to start a data science, analytics, or related program (e.g. Bachelor’s, Master’s, bootcamp, online courses), recent college graduates who want to learn new skills to set them apart in the job market, professionals who want to learn hands-on data science techniques in Python, and those who want to shift their career to data science. The book requires basic familiarity with Python. A "getting started with Python" section has been included to get complete novices up to speed.
Building A Career In Ai A Practical Guide For Aspiring Professionals
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Author : Jayant Deshmukh
language : en
Publisher: Jayant Deshmukh
Release Date : 2024-12-01
Building A Career In Ai A Practical Guide For Aspiring Professionals written by Jayant Deshmukh and has been published by Jayant Deshmukh this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
Building a Career in AI: A Practical Guide for Aspiring Professionals Artificial intelligence is reshaping industries, creating new opportunities, and revolutionizing the way we work and live. Are you ready to become part of this transformation? Whether you're a student curious about AI or a professional considering a career shift, this book is your ultimate guide to building a rewarding career in one of the most dynamic fields of our time. Written by Jayant Deshmukh, a Certified Project Management Professional (PMP), accomplished AI practitioner, and seasoned leader in digital transformation, this book combines deep expertise with a human touch. Jayant has worked with top global financial institutions, orchestrating transformative AI-driven initiatives, and has traveled extensively, gaining unique insights into diverse cultures, industries, and challenges. With this wealth of experience, he delivers an engaging and practical roadmap tailored for aspiring AI professionals. What This Book Offers This isn’t just another technical manual—it’s a hands-on, inspiring journey into the world of AI. Building a Career in AI demystifies complex concepts and equips you with the tools, skills, and strategies you need to succeed. A Beginner-Friendly Approach: Complex AI terms like machine learning, neural networks, and data science are explained in simple, relatable language, making them accessible even to those new to technology. Step-by-Step Guidance: Learn how to acquire essential skills like Python programming, mathematics, and domain knowledge. Follow clear roadmaps to build your expertise, whether you're starting from scratch or transitioning from another field. Practical Resources: Discover the best online courses, books, certifications, and tools to enhance your learning. Get insights into platforms like TensorFlow, PyTorch, and Kaggle, and learn how to build a portfolio of AI projects that stand out. Real-Life Stories: Be inspired by the journeys of individuals who started with no technical background but successfully transitioned into AI careers. From college graduates to mid-career professionals, these stories prove that success in AI is achievable for anyone with determination. Career Strategies: Master the art of building a personal brand through LinkedIn, GitHub, and Kaggle. Gain insider tips for crafting resumes, acing interviews, and presenting your projects effectively. Future-Proofing Your Career: Stay updated with emerging trends like generative AI, and learn how to evolve into leadership roles, from practitioner to strategist. Why This Book Matters The field of AI is rapidly growing, with a global demand for skilled professionals outpacing supply. This creates unparalleled opportunities for those who are prepared. However, starting your journey can feel overwhelming. This book bridges the gap, providing a clear, actionable framework to help you navigate the AI landscape with confidence. Jayant’s unique perspective—combining technical expertise, global industry experience, and an empathetic understanding of aspiring professionals’ challenges—ensures that every chapter is both practical and inspiring. His engaging storytelling, combined with motivational quotes and interactive exercises, makes this book more than a guide; it’s a mentor on your AI journey. Who Should Read This Book Students: If you’re in college and curious about AI, this book will guide you through building foundational skills, exploring career paths, and preparing for the job market. Professionals: If you’re looking to transition into AI from another field, you’ll find step-by-step strategies and inspiring examples to help you pivot successfully. Aspiring Innovators: If you dream of leveraging AI to create meaningful solutions, this book will equip you with the mindset, tools, and knowledge to make an impact. Start Your AI Journey Today The future belongs to those who embrace change and seize new opportunities. With Building a Career in AI, you’ll gain not only technical knowledge but also the confidence and motivation to take the first step—and every step after—toward a fulfilling career in AI. "The only limit to our realization of tomorrow will be our doubts of today." — Franklin D. Roosevelt This is more than a book; it’s your companion in navigating the exciting and ever-evolving world of artificial intelligence. Whether you’re starting small or dreaming big, your journey begins here. Take the leap, embrace the possibilities, and let this book guide you to a future shaped by your potential and the limitless power of AI. Are you ready to build your career in AI? The time is now!