Introduction to Neural Networks with PyTorch
- Offered byUDACITY
Introduction to Neural Networks with PyTorch at UDACITY Overview
Introduction to Neural Networks with PyTorch
at UDACITY
Duration | 4 weeks |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
Introduction to Neural Networks with PyTorch at UDACITY Highlights
Introduction to Neural Networks with PyTorch
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Introduction to Neural Networks with PyTorch at UDACITY Course details
Introduction to Neural Networks with PyTorch
at UDACITY
Skills you will learn
What are the course deliverables?
- Gradient descent
- AI algorithms in Python
- Training neural networks
- NumPy
More about this course
- Become a neural network expert with our comprehensive PyTorch online course. Dive into Neural Network Fundamentals and gain in-depth training. Sign Up Today!
Introduction to Neural Networks with PyTorch at UDACITY Curriculum
Introduction to Neural Networks with PyTorch
at UDACITY
Course Introduction
Introduction to Neural Networks
Implementing Gradient Descent
Training Neural Networks
Deep Learning with PyTorch
Create Your Own Image Classifier
Introduction to Neural Networks with PyTorch at UDACITY Faculty details
Introduction to Neural Networks with PyTorch
at UDACITY
Luis Serrano
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Introduction to Neural Networks with PyTorch at UDACITY Entry Requirements
Introduction to Neural Networks with PyTorch
at UDACITY
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Introduction to Neural Networks with PyTorch
at UDACITY
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