Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processingCover interesting deep learning solutions for mobileBuild your confidence in training models, performance tuning, memory optimization, and neural network deployment through every projectBook Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learnCreate your own customized chatbot by extending the functionality of Google AssistantImprove learning accuracy with the help of features available on mobile devicesPerform visual recognition tasks using image processingUse augmented reality to generate captions for a camera feedAuthenticate users and create a mechanism to identify rare and suspicious user interactionsDevelop a chess engine based on deep reinforcement learningExplore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applicationsWho this book is for This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.
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.
Happiness is internal .Happiness is like a butterfly. If you run after it, it keeps flying away .If you stand still it comes and sits on your shoulder. Happiness is flitting nature .Nowadays we all are changing the meaning of happiness .Happiness is now measured in terms of sensory stimulation. This book give insight of Happiness keep on eudemonic paradigm and enjoy hedonic paradigm with detachment. Life should be balance in proportion of eudemonic paradigm and hedonic paradigm.We will learn how to live with sustained happiness by applying seven pillar of eudemonic paradigm in life.
Unknown pathogen. Reanimated Corpses. Sound familiar? Well, enter Shanaya Singh. An ordinary twenty-six-year old woman turned human weapon, courtesy of the unknown pathogen. Scared and confused, she turns to Niloufer Mirza for assistance. But who is she? And what does she know about Shanaya’s condition? Witness the unfolding of a crisis with a milquetoast of old-fashioned politicking and power grabbing maneuvers to keep you company. The stage is set for Delhi-NCR to become a battleground for the unknown and the nefarious. Or are they the same?
Avinash baahar ki duniya ke liye bhale hi bas ek ‘Average Student’ho par uske man ke andar imagination aur creativity ka aisa samandar samaaya hai jiska logo ko andaaza hi nahi. 20 saal ka Avinash jiska Kota me rehte hue IIT MAINS ka exam hi clear nahi ho raha,wo ek shaam coaching institute se thak haar ke aakar apne bistar pe so jaata hai. Us raat wo apne 10 ghante ki neend ke khwaab me kuchh aisa imagine karta hai jiske wajah se hamesha hamesha ke liye uski zindagi ko ek nayi disha aur maksad mil jaati hai. To aisa kya dekha usne apne khwaab me? Wahi to ye kitaab ki kahaani hai. Avinash ke khwaab me hi zindagi ke har raaz aur hum sab ke jawaab chhupe hai. Waise ab aap padh hi rahe ho to ek baat bataana chaahta hoon. Avinash sirf ek ladka ya is kitaab ka character nahi.Avinash aap,mai aur hum sab hai.Hum sab last bench pe baithe class ya apni zindagi se bored ya khafa hai, par phir bhi har din attendance ke liye apna haath khada kar dete hai. Hum sab zindagi me koi aisa direction,passion aur goal dhund rahe hai jise jaan lene ke baad hamaari life track pe aajaaye. Ye kitaab aapko ye dhundne me zaroor madat karegi par bohot hi youthfull,light hearted,comical andaaz me. Dhanyavaad.
Sophia Kanchanovna is a happy go lucky girl who holds no regrets in her life. She has many dreams, to be a rockband singer and the best Ballet dancer across Russia. But all her dreams are left in crisis, because of some reason she had to marry a money minded man. The man is renowned by profession but is he the same by heart?? This is the tale of dreams of Sophia, her empowerment and The Snowflaked Evenings as a woman comes in her life. Hope you all enjoy the life of Sophia, a life of Ice and Fire. Will Sophia Accomplish her Dreams?? Or Left Destroyed Forever.
This book introduces the concepts, perspectives, and importance of integrated marketing communication (IMC). It presents the history of Indian advertising, the strategic importance of IMC, and a discussion on social and cultural factors that enhance the effectiveness of marketing communication. Attuned to an evolving, Internet-driven, social media–connected world, the book covers all the important forms of communications used by business organizations, touching upon key areas, from marketing plans, branding, positioning, and creative briefs to copywriting, design. It takes the readers through the varied strands of IMC, including advertising, public relations, direct marketing, and sales promotion. The volume also presents considerations for each major media format with an aim of sending their messages to the end consumer. This volume will be an invaluable resource for students, scholars, and marketing professionals as it covers a wide range of topics like communication strategies, advertising, marketing, brand management, media studies, and public relations.
Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY FEATURES ● Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently. ● Learn about data collection, storage, processing, and analysis, along with tools and methods. ● Discover real-life examples of big data applications across industries, addressing challenges like privacy and security. DESCRIPTION Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape. WHAT YOU WILL LEARN ● Grasp big data fundamentals and applications. ● Master descriptive, predictive, and prescriptive analytics. ● Understand HDFS, MapReduce, YARN, and their functionalities. ● Explore data storage, retrieval, and manipulation in a NoSQL database. ● Gain practical insights and apply them to real-world scenarios. WHO THIS BOOK IS FOR This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners. TABLE OF CONTENTS 1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB
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.
Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processingCover interesting deep learning solutions for mobileBuild your confidence in training models, performance tuning, memory optimization, and neural network deployment through every projectBook Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learnCreate your own customized chatbot by extending the functionality of Google AssistantImprove learning accuracy with the help of features available on mobile devicesPerform visual recognition tasks using image processingUse augmented reality to generate captions for a camera feedAuthenticate users and create a mechanism to identify rare and suspicious user interactionsDevelop a chess engine based on deep reinforcement learningExplore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applicationsWho this book is for This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.
Everyone’s life is a story which they can describe on their own with Drama, tragedy, and laughter, but the one thing common for all is love. Everyone falls in love at least once with all their hearts and live to cherish those moments for life. However, unlike others, a small-town boy Ravi came to New Delhi to fall in love not once, but over and over again. A smart but emotional Ravi fell in love with Misha, thinking never to let go, but his life had other plans and brought him Riya. And then when things were looking good, life wasn’t contented with him. So it shattered him, but the friendship of Twinkle & Varun brought him his life back. Why did Ravi find himself lonely and demented even though the love he was looking for was with him all the time? Then came Kavya to bring back the hearty laugh which he had lost in life. The Ravi who never believed in love, how did he get into a circle of love to fall for it repeatedly? And will he ever find eternal love? Look for the answers when Ravi tells his story to make you smile and to make you cry and when he lets you decide, is it really love all over again?
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.