Free Course Image Neural Networks and TensonFlow

Free online courseNeural Networks and TensonFlow

Duration of the online course: 2 hours and 5 minutes

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Learn Neural Networks and TensorFlow with this free online course by Traversy Media. Perfect for beginners in Artificial Intelligence and Information Technology.

In this free course, learn about

  • Introduction to Neural Networks

Course Description

The course "Neural Networks and TensorFlow" is a concise yet comprehensive journey into the world of artificial intelligence and deep learning. Spanning just over 2 hours, this course is designed to provide a solid foundation in neural networks, using TensorFlow as the primary tool for programming and execution.

Neural networks form the backbone of modern artificial intelligence, powering everything from image recognition systems to language translation services. This course begins with an introduction to the fundamental concepts of neural networks, explaining the workings of neurons, layers, and how they can be trained to perform complex tasks through learning algorithms.

As the course progresses, learners delve deeper into TensorFlow, a powerful and widely-used library developed by Google. TensorFlow facilitates the creation and deployment of neural network models, making it a crucial skill for any aspiring AI practitioner. In this course, you'll learn how to set up TensorFlow, understand its core components, and implement basic to advanced neural network models.

Despite its relatively short duration, the course manages to pack in a wealth of knowledge by focusing on hands-on, practical examples. You'll gain experience in building, training, and evaluating neural network models, providing you with the tools needed to tackle real-world problems using AI. By completing this course, you'll have developed a robust understanding of both theoretical and practical aspects of neural networks and TensorFlow.

Rated 4.0 stars out of 5 by its audience, the course has been well-received for its clear explanations, practical approach, and the expertise of the instructor. It serves as an excellent starting point for individuals looking to break into the field of artificial intelligence and deepen their understanding of neural networks.

Belonging to the Information Technology category and specifically focusing on Artificial Intelligence, this course is ideal for software developers, data scientists, and anyone with an interest in AI. Whether you are looking to bolster your skills for career advancement or are simply passionate about deep learning technologies, "Neural Networks and TensorFlow" offers a valuable, compact, and engaging learning experience.

Course content

  • Video class: Neural Networks 2h05m
  • Exercise: _What is a neural network and how does it work?
  • Exercise: _What is a fully connected neural network?
  • Exercise: _What is the output of the neural network's output layer?
  • Exercise: _What is an activation function in a neural network?
  • Exercise: _What is the purpose of a loss function in neural networks?
  • Exercise: _What is the name of the dataset that will be used in this tutorial?
  • Exercise: _What is the reason for splitting data into testing and training data in neural networks?

This free course includes:

2 hours and 5 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

100% free, from content to certificate

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