Masterclass Ai Learning Tensorflow Extreme Build Ai Models With Tensorflow In A Professional And Guided Way With Gpt Agent 2025 Edition
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Masterclass Ai Learning Tensorflow Extreme Build Ai Models With Tensorflow In A Professional And Guided Way With Gpt Agent 2025 Edition
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-04-03
Masterclass Ai Learning Tensorflow Extreme Build Ai Models With Tensorflow In A Professional And Guided Way With Gpt Agent 2025 Edition written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.
MASTERCLASS AI LEARNING TENSORFLOW EXTREME – 2025 Edition Build AI Models with TensorFlow in a Professional and Guided Way with GPT Agent How about mastering TensorFlow directly in a hands-on environment, without boring videos or generic texts? The AILearning Masterclass series was created to revolutionize the way you learn essential technologies for the modern market. Here, you study directly on the OpenAI platform with a high-tech GPT Agent — Mr. TensorFlow D21 — who guides your technical journey, answers your questions in real-time, and supports the development of real-world projects using TensorFlow. All through text or voice, 24 hours a day, in 13 languages. No more passive learning. Now it’s active, guided, and applicable learning. You absorb, apply, fix, and evolve. At your own pace. Your own way. In your own language. In this Masterclass, you will learn to: • Build Machine Learning models with TensorFlow — from fundamentals to advanced applications • Work with data, tensors, neural networks, and training pipelines • Apply modern techniques for preprocessing, optimization, and model evaluation • Fix errors with technical support from the AI Agent and apply real AI engineering • Develop real projects with TensorFlow, ready for deployment and scalability With continuous tutoring, automated diagnostics, and applicable projects. AILearning EXPERIENCE – FREE DEMO To sharpen your Machine Learning skills and get you ready to tackle TensorFlow challenges, StudioD21 has prepared a demonstrative experience with AI-assisted tutoring. Explore a complete Masterclass for free and see in practice how our active learning model with artificial intelligence really works. TensorFlow, Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks, TensorFlow Course, Practical Guide, Masterclass with AI, StudioD21, AI Engineering, Applied Machine Learning, Technical Training, Python for AI, ML Frameworks, TensorFlow Projects, GPT Agent Course, Interactive Learning, AI Development, Model Deployment, AI Tutoring, Real Projects with TensorFlow
Mastering Tensorflow 1 X
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Author : Armando Fandango
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-22
Mastering Tensorflow 1 X written by Armando Fandango 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 2018-01-22 with Computers categories.
Build, scale, and deploy deep neural network models using the star libraries in Python Key Features Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras Build, deploy, and scale end-to-end deep neural network models in a production environment Learn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and Kubernetes Book Description TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs. This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images. You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected. The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems. What you will learn Master advanced concepts of deep learning such as transfer learning, reinforcement learning, generative models and more, using TensorFlow and Keras Perform supervised (classification and regression) and unsupervised (clustering) learning to solve machine learning tasks Build end-to-end deep learning (CNN, RNN, and Autoencoders) models with TensorFlow Scale and deploy production models with distributed and high-performance computing on GPU and clusters Build TensorFlow models to work with multilayer perceptrons using Keras, TFLearn, and R Learn the functionalities of smart apps by building and deploying TensorFlow models on iOS and Android devices Supercharge TensorFlow with distributed training and deployment on Kubernetes and TensorFlow Clusters Who this book is for This book is for data scientists, machine learning engineers, artificial intelligence engineers, and for all TensorFlow users who wish to upgrade their TensorFlow knowledge and work on various machine learning and deep learning problems. If you are looking for an easy-to-follow guide that underlines the intricacies and complex use cases of machine learning, you will find this book extremely useful. Some basic understanding of TensorFlow is required to get the most out of the book.
Hands On Artificial Intelligence With Tensorflow
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Author : Amir Ziai
language : en
Publisher:
Release Date : 2018-10-31
Hands On Artificial Intelligence With Tensorflow written by Amir Ziai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Artificial intelligence categories.
Book Description Artificial Intelligence (AI) is a popular area with an emphasis on creating intelligent machines that can reason, evaluate, and understand the same way as humans. It is used extensively across many fields, such as image recognition, robotics, language processing, healthcare, finance, and more. Hands-On Artificial Intelligence with TensorFlow gives you a rundown of essential AI concepts and their implementation with TensorFlow, also highlighting different approaches to solving AI problems using machine learning and deep learning techniques. In addition to this, the book covers advanced concepts, such as reinforcement learning, generative adversarial networks (GANs), and multimodal learning. Once you have grasped all this, you'll move on to exploring GPU computing and neuromorphic computing, along with the latest trends in quantum computing. You'll work through case studies that will help you examine AI applications in the important areas of computer vision, healthcare, and FinTech, and analyze their datasets. In the concluding chapters, you'll briefly investigate possible developments in AI that we can expect to see in the future. By the end of this book, you will be well-versed with the essential concepts of AI and their implementation using TensorFlow. What you will learn Explore the core concepts of AI and its different approaches Use the TensorFlow framework for smart applications Implement various machine and deep learning algorithms with TensorFlow Design self-learning RL systems and implement generative models Perform GPU computing efficiently using best practices Build enterprise-grade apps for computer vision, NLP, and healthcare Who this book is for Hands-On Artificial Intelligence with TensorFlow is for you if you are a machine learning developer, data scientist, AI researcher, or anyone who wants to build artificial intelligence applications using TensorFlow. You need to have some working knowledge of machine learning to get the most out of this book.
Tensorflow Reinforcement Learning Quick Start Guide
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Author : Kaushik Balakrishnan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30
Tensorflow Reinforcement Learning Quick Start Guide written by Kaushik Balakrishnan 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 2019-03-30 with Computers categories.
Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key FeaturesExplore efficient Reinforcement Learning algorithms and code them using TensorFlow and PythonTrain Reinforcement Learning agents for problems, ranging from computer games to autonomous driving.Formulate and devise selective algorithms and techniques in your applications in no time.Book Description Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving. The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator. By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems. What you will learnUnderstand the theory and concepts behind modern Reinforcement Learning algorithmsCode state-of-the-art Reinforcement Learning algorithms with discrete or continuous actionsDevelop Reinforcement Learning algorithms and apply them to training agents to play computer gamesExplore DQN, DDQN, and Dueling architectures to play Atari's Breakout using TensorFlowUse A3C to play CartPole and LunarLanderTrain an agent to drive a car autonomously in a simulatorWho this book is for Data scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (as well as exposure to Python programming) will be useful.
Masterclass Ai Learning Tensorflow Extreme Desenvolva Modelos De Ia Profissionais Com Agent Gpt
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Author : Diego Rodrigues
language : pt-BR
Publisher: Diego Rodrigues
Release Date : 2025-04-03
Masterclass Ai Learning Tensorflow Extreme Desenvolva Modelos De Ia Profissionais Com Agent Gpt written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Business & Economics categories.
MASTERCLASS AI LEARNING TENSORFLOW EXTREME – Edição 2025 Desenvolva Modelos de IA Profissionais com Agent GPT Que tal dominar TensorFlow diretamente no ambiente prático, sem vídeos cansativos ou textos genéricos? A série Masterclass AILearning foi criada para transformar a forma como você aprende tecnologias essenciais para o mercado. Aqui, você estuda diretamente na plataforma OpenAI com um AI Agent GPT treinado com alta tecnologia — o Mr. TensorFlow D21 — que conduz sua jornada técnica, responde dúvidas em tempo real e orienta a construção de projetos reais com TensorFlow. Tudo por texto ou voz, 24 horas por dia, em 13 idiomas. Nada de passividade. Agora é aprendizado ativo, guiado e aplicável. Você absorve, executa, corrige e evolui. No seu ritmo. Do seu jeito. No seu idioma. Nesta Masterclass, você vai aprender a: Construir modelos de Machine Learning com TensorFlow — dos fundamentos às aplicações avançadas Trabalhar com dados, tensores, redes neurais e pipelines de treino Aplicar técnicas modernas de pré-processamento, otimização e avaliação de modelos Corrigir erros com suporte técnico do AI Agent e aplicar engenharia real de IA Desenvolver projetos reais com TensorFlow, prontos para deploy e escala Com tutoria contínua, diagnósticos automáticos e projetos aplicáveis. AILearning EXPERIENCE – DEMO GRATUITA E para deixar você afiado em Machine Learning e pronto para encarar os desafios com TensorFlow, a StudioD21 preparou uma experiência demonstrativa com tutoria assistida por IA. Explore gratuitamente uma Masterclass completa e descubra na prática como funciona o nosso modelo de aprendizado ativo com inteligência artificial. TensorFlow, Machine Learning, Inteligência Artificial, Deep Learning, Redes Neurais, Curso TensorFlow, Guia prático, Masterclass com IA, StudioD21, Engenharia de IA, Aprendizado de Máquina, Formação Técnica, Python para IA, Frameworks de ML, Projeto com TensorFlow, Curso com agente GPT, Aprendizado interativo, Desenvolvimento de IA, Deploy de Modelos, Tutoria com IA, Projetos reais com TensorFlow
Complete Guide To Machine Learning With Tensorflow And Keras
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Author : Katarina Juric
language : en
Publisher: Independently Published
Release Date : 2025-04-08
Complete Guide To Machine Learning With Tensorflow And Keras written by Katarina Juric and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
Unlock the power of artificial intelligence with Complete Guide to Machine Learning with TensorFlow and Keras. This comprehensive guide is designed for developers, data scientists, and AI enthusiasts who want to master the essentials of machine learning and deep learning using TensorFlow and Keras. Learn how to build and train sophisticated AI models for practical applications, ranging from image and speech recognition to predictive analytics. TensorFlow and Keras are two of the most powerful and widely used libraries for machine learning and deep learning. This book will take you step-by-step through the process of building, training, and deploying machine learning models, enabling you to leverage the full capabilities of these libraries to solve real-world problems. Inside, you'll learn: The fundamentals of machine learning and deep learning concepts, including supervised, unsupervised, and reinforcement learning How to set up and use TensorFlow and Keras to build AI models from scratch The basics of neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) Techniques for training, tuning, and optimizing machine learning models for better accuracy and performance How to process and prepare datasets for training, including working with image, text, and time series data Best practices for evaluating and validating machine learning models, including cross-validation and metrics like accuracy, precision, and recall Advanced techniques for fine-tuning deep learning models and working with transfer learning How to deploy machine learning models into production for real-world applications Real-world case studies, including building AI models for tasks like image classification, natural language processing, and recommendation systems By the end of this book, you'll be equipped with the knowledge and hands-on experience to develop, train, and deploy machine learning and deep learning models using TensorFlow and Keras. Whether you're building a personal project or working in a professional setting, Complete Guide to Machine Learning with TensorFlow and Keras will provide you with the tools to succeed in the rapidly growing field of AI. Key Features: Master machine learning and deep learning techniques using TensorFlow and Keras Learn how to build and train AI models for real-world applications such as image recognition, text analysis, and predictive analytics Step-by-step tutorials and hands-on examples for building machine learning projects Best practices for optimizing and evaluating models for performance and scalability Advanced techniques like transfer learning, hyperparameter tuning, and model deployment Start building intelligent AI models today with Complete Guide to Machine Learning with TensorFlow and Keras and bring your machine learning projects to life.
Deep Learning Workshop
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Author :
language : en
Publisher:
Release Date : 2020
Deep Learning Workshop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Advanced Deep Learning With Tensorflow 2 And Keras Second Edition
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Author : ROWEL. ATIENZA
language : en
Publisher:
Release Date : 2020-02-28
Advanced Deep Learning With Tensorflow 2 And Keras Second Edition written by ROWEL. ATIENZA and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with categories.
Deep Learning And Ai Superhero
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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-01-20
Deep Learning And Ai Superhero written by Cuantum Technologies LLC 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 2025-01-20 with Computers categories.
Master TensorFlow, Keras, and PyTorch for deep learning in AI applications. Learn neural networks, CNNs, RNNs, LSTMs, and GANs through hands-on exercises and real-world projects. Key Features TensorFlow, Keras, and PyTorch for diverse deep learning frameworks Neural network concepts with real-world industry relevance Cloud and edge AI deployment techniques for scalable solutions Book DescriptionDive into the world of deep learning with this comprehensive guide that bridges theory and practice. From foundational neural networks to advanced architectures like CNNs, RNNs, and Transformers, this book equips you with the tools to build, train, and optimize AI models using TensorFlow, Keras, and PyTorch. Clear explanations of key concepts such as gradient descent, loss functions, and backpropagation are combined with hands-on exercises to ensure practical understanding. Explore cutting-edge AI frameworks, including generative adversarial networks (GANs) and autoencoders, while mastering real-world applications like image classification, text generation, and natural language processing. Detailed chapters cover transfer learning, fine-tuning pretrained models, and deployment strategies for cloud and edge computing. Practical exercises and projects further solidify your skills as you implement AI solutions for diverse challenges. Whether you're deploying AI models on cloud platforms like AWS or optimizing them for edge devices with TensorFlow Lite, this book provides step-by-step guidance. Designed for developers, AI enthusiasts, and data scientists, it balances theoretical depth with actionable insights, making it the ultimate resource for mastering modern deep learning frameworks and advancing your career in AIWhat you will learn Understand neural network basics Build models using TensorFlow and Keras Train and optimize PyTorch models Apply CNNs for image recognition Use RNNs and LSTMs for sequence tasks Leverage Transformers in NLP Who this book is for This book is for software developers, AI enthusiasts, data scientists, and ML engineers who aim to master deep learning frameworks. A foundational understanding of programming and basic ML concepts is recommended. Ideal for those seeking hands-on experience in real-world AI projects.
The Tensorflow Workshop
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Author : Matthew Moocarme
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-12-15
The Tensorflow Workshop written by Matthew Moocarme 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 2021-12-15 with Computers categories.
Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key FeaturesUnderstand the fundamentals of tensors, neural networks, and deep learningDiscover how to implement and fine-tune deep learning models for real-world datasetsBuild your experience and confidence with hands-on exercises and activitiesBook Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learnGet to grips with TensorFlow's mathematical operationsPre-process a wide variety of tabular, sequential, and image dataUnderstand the purpose and usage of different deep learning layersPerform hyperparameter-tuning to prevent overfitting of training dataUse pre-trained models to speed up the development of learning modelsGenerate new data based on existing patterns using generative modelsWho this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp the topics covered in this book more easily.