Training Neural Networks in Python Preview

Training Neural Networks in Python

With Eduardo Corpeño Liked by 485 users
Duration: 2h 7m Skill level: Advanced Released: 11/9/2022

Course details

Prerequisites

  • You must feel comfortable writing code in Python 3.

Project

  • Build a neural network from scratch using Python.

Neural networks are widely used in everyday applications like online shopping, weather forecasting, and smartphones. This course by Eduardo Corpeño teaches the inner workings of neural networks in Python, allowing you to fully understand the algorithms behind them. Although there are professional tools that allow you to train neural networks from a high-level perspective, this course gives you a chance to tap into the details of the algorithms behind neural networks. Through exercises and examples, learn how to relate biological neurons to Python elements to build and train your own networks, and gain knowledge that can help you choose the right neural network architecture and training method for your projects and problems you encounter.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

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Contents

What’s included

  • Test your knowledge 5 quizzes
  • Learn on the go Access on tablet and phone

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