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Complete Guide to Machine Learning with Tensorflow and Keras: Master TensorFlow, Keras, and Deep Learning to Build and Train AI Models for Practical Applications
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Complete Guide to Machine Learning with Tensorflow and Keras: Master TensorFlow, Keras, and Deep Learning to Build and Train AI Models for Practical Applications

          
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About the Book
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.
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About the Book

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.


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Product Details
  • ISBN-13: 9798317270483
  • Publisher Date: 01 Jan 1900
  • Height: 229 mm
  • No of Pages: 486
  • Spine Width: 25 mm
  • Weight: 643 gr
  • ISBN-10: 8317270483
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Master TensorFlow, Keras, and Deep Learning to Build and Train AI Models for Practical Applications
  • Width: 152 mm


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