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 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.
- | Author: Miguel Farmer
- | Publisher: Independently Published
- | Publication Date: May 25, 2025
- | Number of Pages: 00224 pages
- | Binding: Paperback or Softback
- | ISBN-10: NA
- | ISBN-13: 9798284699096
