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Building Neural Networks from Scratch with Python

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Building Neural Networks from Scratch with Python

By: L.D. Knowings
Narrated by: Bryan Hughey
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About this listen

Unlock the World of Neural Networks in Python!

Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!

Discover how to:

  • Understand the fundamentals of neural networks and their benefits
  • Code without drowning in complex math equations
  • Become a debugging master for efficient coding and data testing
  • Stay updated on the latest tech trends and advancements
  • Demystify layers, gradients, and tackle underfitting/overfitting

Transform your coding skills and knowledge with beginner-friendly projects!

Imagine a world where machine learning is accessible to all, including you. This guide will change how you perceive neural networks and propel you confidently into the realm of coding!

Don't miss this opportunity! Master neural networks and make a difference in machine learning. Click "Add to Cart" now!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2023 Keyven Lewis (P)2024 Keyven Lewis Computer Science Machine Theory & Artificial Intelligence Programming Programming & Software Development Software Development Machine Learning Data Science Technology Artificial Intelligence Software

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Listener received this title free

The book should cover core concepts of neural networks, including feed-forward and back-propagation, different activation functions, regularization techniques, and optimization algorithms.

Coverage of Core Concepts

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Listener received this title free

A good book should explain complex concepts in a clear and understandable manner. It should not assume too much prior knowledge and should build up from fundamentals to more advanced topics.

Clarity and Explanation

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Listener received this title free

This book offers a structured learning path that guides readers through the fundamentals of neural networks to more advanced topics. Each chapter builds upon the concepts introduced in the previous ones, providing a cohesive and organized approach to learning. This structure ensures that readers develop a solid foundation before tackling more complex material, fostering deeper comprehension and retention.

Structured Learning Path

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Listener received this title free

Neural networks are often used in conjunction with other technologies, such as big data platforms, cloud computing, or edge devices. A book that explores how neural networks integrate with these technologies can give readers a more holistic understanding of their practical applications.

Integration with Other Technologies

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Listener received this title free

As neural networks are increasingly used in various applications, it's essential for a book to address the ethical implications of AI technologies. This could include discussions on bias, fairness, privacy, and the responsible deployment of AI systems.

Ethical Considerations

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