Overview
Course Skills
- Introduction to Neural Networks with PyTorch
Gradient descent • AI algorithms in Python • Training neural networks • NumPy • Backpropagation • Overfitting prevention • Deep learning fluency • PyTorch
The Introduction to Neural Networks with PyTorch program is offered by Udacity.
The Udacity Difference
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Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
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Programme Structure
Courses include:
- Neural Networks
- Implementing Gradient Descent
- Training Neural Networks
- Deep Learning with PyTorch
- Create Your Own Image Classifier
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
Language
Delivered
Disciplines
Web Technologies & Cloud Computing View 603 other Short Courses in Web Technologies & Cloud Computing in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic descriptive statistics
- Python for data science
- Basic probability
- Linear algebra
- Multivariable calculus
Tuition Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects