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Deep Learning for Beginners: Unlock the Secrets of Neural Networks and AI with Python
Paperback
Publisher: Independently Published
Published: May 25 2025
Pages: 224
Weight: 0.67
Height: 0.47 Width: 6.00 Depth: 9.00
Language: English
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.
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Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
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The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
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Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
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Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
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Software Engineering at Google: Lessons Learned from Programming Over Time
Wright, Hyrum
Winters, Titus
Manshreck, Tom
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Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
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Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Japikse, Phil
Troelsen, Andrew
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Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
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Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
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Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
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Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Conner, Kevin
Luksa, Marko
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Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
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Site Reliability Engineering: How Google Runs Production Systems
Beyer, Betsy
Murphy, Niall Richard
Jones, Chris
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Ruined by Design: How Designers Destroyed the World, and What We Can Do to Fix It
Monteiro, Mike
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Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Cipriani, Alessandro
Maurizio, Giri
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Designing AI Interfaces: Design Principles for Creative and Autonomous AI
Macfadyen, Louise
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