
Overview
Skills you'll learn in the Deep Learning program at Udacity
- Introduction to Deep Learning
Model performance metrics • Perceptron • Neural networks • Deep learning • PyTorch • Gradient descent • Overfitting prevention • scikit-learn • Advanced probability • Training neural networks • Deep learning tools
- Convolutional Neural Networks
Image pre-processing • Image segmentation • Neural network initialization • Bounding boxes • Semantic image segmentation • Convolutional kernels • Training neural networks • U-net • Convolutional neural networks • Autoencoders • Image classification • Transfer learning • Model training • Object detection • PyTorch
- RNNs and Transformers
Training neural networks • Backpropagation • NLP transformers • Hyperparameter tuning • Gpt3 • Recurrent neural networks • Bert • Long-short term memory networks • Neural networks • Word2vec
- Building Generative Adversarial Networks
Generative adversarial networks • Model evaluation • Deep learning techniques • Markov games • Deep learning model optimization • Hyperparameter tuning • Cyclegan • Image generation
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Deep Learning
- Convolutional Neural Networks
- RNNs and Transformers
- Building Generative Adversarial Networks
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Artificial Intelligence Machine Learning View 323 other programmes 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
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:
- Python proficiency
- Pandas
- Matrix multiplication
- Intermediate Python
- Linear algebra
- Fully convolutional neural networks
- Basic calculus
- NumPy
- matplotlib
- Deep learning fluency
- Basic probability
- Variational autoencoders
- Feedforward neural networks
- Jupyter notebooks
- Neural network basics
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 Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months. -
In-State
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months.
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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