Overview
Join the Deep Learning programme at Udacity . You’ll begin with the essentials of neural networks, advancing to specialized architectures like Convolutional and Recurrent Neural Networks, along with Transformers, Generative Adversarial Networks and Diffusion Models.
Through projects, create models for applications such as image classification, Q&A, and CAPTCHA image generation, gaining hands-on experience with PyTorch and advanced training techniques. Ideal for those aiming to harness the potential of deep learning, this experience prepares you to tackle AI challenges across various domains.
Nanodegree Skills
- Constructing and Training Neural Networks
- Building Convolutional Neural Networks for Computer Vision
- Creating Sequence Models and Transformers
- Building Generative Models
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Constructing and Training Neural Networks
- Building Convolutional Neural Networks for Computer Vision
- Creating Sequence Models and Transformers
- Building Generative Models
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 days
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning View 276 other preparation in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic 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
Prior to enrolling, you should have the following knowledge:
- Pandas
- Intermediate Python
- Vectors
- PyTorch
- Basic calculus
- NumPy
- Overfitting prevention
- Deep learning fluency
- Basic probability
- Feedforward neural networks
- Gradient descent
- Derivatives
- Neural network basics
- Python proficiency
- Matrix operations
- Matrix multiplication
- Linear algebra
- Fully convolutional neural networks
- Differential calculus
- matplotlib
- Variational autoencoders
- Jupyter notebooks
- Machine learning frameworks in Python
You will also need to be able to communicate fluently and professionally in written and spoken English.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents499 USD / full≈ 499 USD / full - Out-of-State499 USD / full≈ 499 USD / full
-
Domestic
Applies to youIn-State499 USD / full≈ 499 USD / full
Additional Details
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Deep Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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