Building Neural Networks from Scratch with Python cover art

Building Neural Networks from Scratch with Python

 Preview

Get 30 days of Standard free

£5.99/mo after trial. Cancel monthly.
Try for £0.00
More purchase options

Building Neural Networks from Scratch with Python

By: L.D. Knowings
Narrated by: Bryan Hughey
Try for £0.00

£5.99 a month after 30 days. Cancel anytime.

Buy Now for £10.38

Buy Now for £10.38

Summary

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
adbl_web_anon_alc_button_suppression_c
All stars
Most relevant

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

Something went wrong. Please try again in a few minutes.

Listener received this title free

A book that engages the reader with interesting examples, anecdotes, or historical context can make the learning experience more enjoyable.

Engaging Writing Style

Something went wrong. Please try again in a few minutes.

Listener received this title free

The book provides an in-depth exploration of popular neural network frameworks, such as TensorFlow and PyTorch. Readers learn how to implement neural network models using these frameworks, gaining hands-on experience with industry-standard tools and techniques. By familiarizing themselves with these frameworks, readers are better positioned to leverage their capabilities and stay current with advancements in neural network development.

In-depth Exploration of Frameworks

Something went wrong. Please try again in a few minutes.

Listener received this title free

Neural networks involve a lot of mathematical concepts, such as linear algebra, calculus, and probability theory. A book that provides clear explanations of these mathematical concepts in the context of neural networks can be incredibly helpful for readers without a strong mathematical background.

Explanations of Mathematical Concepts

Something went wrong. Please try again in a few minutes.

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

Something went wrong. Please try again in a few minutes.
See more reviews