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{ "item_title" : "Deep Learning for Beginners", "item_author" : [" Miguel Farmer "], "item_description" : "Step into the world of artificial intelligence and master the fundamentals of neural networks with this beginner-friendly guide to deep learning. Designed for those new to AI, this book offers clear explanations and practical examples using Python to help you build and train powerful models.Explore the building blocks of deep learning, from perceptrons to complex architectures, and understand how AI systems learn and improve from data. Whether you want to develop AI applications or pursue a career in machine learning, this guide equips you with the essential skills.What you'll learn: Basics of neural networks and how they workBuilding and training models using popular Python libraries like TensorFlow and KerasUnderstanding layers, activation functions, and backpropagationImplementing feedforward and convolutional neural networksUsing datasets to train, validate, and test modelsTechniques to prevent overfitting and improve model performanceApplying deep learning to image recognition, natural language processing, and morePractical projects to reinforce concepts and build experienceDeploying deep learning models in real-world applicationsFuture trends and the evolving landscape of AIBy the end of this book, you'll be confident in designing and training neural networks that solve complex problems with deep learning techniques.Perfect for beginners looking to unlock the secrets of AI and deep learning using Python.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/828/469/9798284699096_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Learning for Beginners|Miguel Farmer

Deep Learning for Beginners : Unlock the Secrets of Neural Networks and AI with Python

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Overview

Step into the world of artificial intelligence and master the fundamentals of neural networks with this beginner-friendly guide to deep learning. Designed for those new to AI, this book offers clear explanations and practical examples using Python to help you build and train powerful models.

Explore the building blocks of deep learning, from perceptrons to complex architectures, and understand how AI systems learn and improve from data. Whether you want to develop AI applications or pursue a career in machine learning, this guide equips you with the essential skills.

What you'll learn:

  • Basics of neural networks and how they work

  • Building and training models using popular Python libraries like TensorFlow and Keras

  • Understanding layers, activation functions, and backpropagation

  • Implementing feedforward and convolutional neural networks

  • Using datasets to train, validate, and test models

  • Techniques to prevent overfitting and improve model performance

  • Applying deep learning to image recognition, natural language processing, and more

  • Practical projects to reinforce concepts and build experience

  • Deploying deep learning models in real-world applications

  • Future trends and the evolving landscape of AI

By the end of this book, you'll be confident in designing and training neural networks that solve complex problems with deep learning techniques.

Perfect for beginners looking to unlock the secrets of AI and deep learning using Python.

This item is Non-Returnable

Details

  • ISBN-13: 9798284699096
  • ISBN-10: 9798284699096
  • Publisher: Independently Published
  • Publish Date: May 2025
  • Dimensions: 9 x 6 x 0.47 inches
  • Shipping Weight: 0.67 pounds
  • Page Count: 224

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