Building a Neural Network & Making Predictions With Python AI
Douglas Starnes
24:56
Description
If you’re just starting out in the artificial intelligence (AI) world, then Python is a great language to learn since most of the tools are built using it. Deep learning is a technique used to make predictions using data, and it heavily relies on neural networks. This course will show you how to build a neural network from scratch.
In a production setting, you would use a deep learning framework like TensorFlow or PyTorch instead of building your own neural network. That said, having some knowledge of how neural networks work is helpful because you can use it to better architect your deep learning models.
In this course, you’ll learn:
What You'll Learn?
- What artificial intelligence is
- How both machine learning and deep learning play a role in AI
- How a neural network functions internally
- How to build a neural network from scratch using Python
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Douglas Starnes
Instructor's CoursesDouglas Starnes is a tech author and Microsoft Most Valuable Professional in developer technologies in Memphis, TN, USA. He is co-director of the Memphis Python User Group, Memphis .NET User Group, Memphis Xamarin User Group and Memphis Power Platform User Group. He is also on the organizing committees of Scenic City Summit in Chattanooga, and TDevConf, a virtual conference in the state of Tennessee in the United States.
A frequent conference and user group speaker, Douglas has delivered more than 70 featured presentations and workshops at more than 35 events over the past 10 years. He holds a Bachelor of Music degree with an emphasis on Music Composition from the University of Memphis.
Real Python
View courses Real Python- language english
- Training sessions 8
- duration 24:56
- Release Date 2023/04/03
